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| energy trading data analytics software: Intelligent Data-Analytics for Condition Monitoring Hasmat Malik, Nuzhat Fatema, Atif Iqbal, 2021-02-24 Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems. - Features deep learning methodologies in smart grid deployment and maintenance applications - Includes coding for intelligent data analytics for each application - Covers advanced problems and solutions of smart grids using advance data analytic techniques |
| energy trading data analytics software: Accounting Paul D. Kimmel, Jerry J. Weygandt, Jill E. Mitchell, 2021-12-02 Accounting: Tools for Business Decision Making by Paul Kimmel, Jerry Weygandt, and Jill Mitchell provides a practical introduction to financial and managerial accounting with a focus on how to use accounting information to make business decisions. Through significant course updates, the 8th Edition presents an active, hands-on approach to spark efficient and effective learning and develops the necessary skills to inspire and prepare students to be the accounting and business professionals of tomorrow. To ensure maximum understanding, students work through integrated assessment at different levels of difficulty right at the point of learning. The course's varied assessment also presents homework and assessment within real-world contexts to help students understand the why and the how of accounting information and business application. Throughout the course, students also work through various hands-on activities including Cookie Creations Cases, Expand Your Critical Thinking Questions, Excel Templates, and Analytics in Action problems, all within the accounting context. These applications all map to chapter material, making it easier for instructors to determine where and how to incorporate key skill development in their syllabus. With Kimmel Accounting, students will understand the foundations of introductory accounting and develop the necessary tools for business decision-making, no matter what path they take. |
| energy trading data analytics software: Survey of Accounting Paul D. Kimmel, Jerry J. Weygandt, Jill E. Mitchell, 2022-12 The text provides numerous discussions on how decision-makers are increasingly relying on data analytics to make decisions using accounting information. Accounting software systems collect vast amounts of data about a company's economic events as well as its suppliers and customers. Business decision-makers take advantage of this wealth of data by using data analytics to gain insights and therefore make more informed business decisions. Data analytics involves analyzing data, often employing both software and statistics, to draw inferences. As both data access and analytical software improve, the use of data analytics to support decisions is becoming increasingly common at virtually all types of companies-- |
| energy trading data analytics software: Computer Vision and Machine Intelligence for Renewable Energy Systems Ashutosh Kumar Dubey, Abhishek Kumar, Umesh Chandra Pati, Fausto Pedro Garcia Marquez, Vicente García-Díaz, Arun Lal Srivastav, 2024-09-20 Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source |
| energy trading data analytics software: Financial Accounting for Managers Paul D. Kimmel, Jerry J. Weygandt, Jill E. Mitchell, 2023-01-05 Provide future business professionals with a practical introduction to financial accounting without the use of debits and credits. With its unique focus on building students’ decision-making skills and emphasis on financial statements, Financial Accounting for Managers, 1st Edition meaningfully integrates data analytics and the importance of using accounting information in real-world decision-making. Engaging real-world industry examples student understanding of accounting concepts and illustrate how these are relevant to their everyday lives and future careers in business and accounting. |
| energy trading data analytics software: Financial Accounting Paul D. Kimmel, Jerry J. Weygandt, Jill E. Mitchell, 2021-12-02 Financial Accounting: Tools for Business Decision Making by Paul Kimmel, Jerry Weygandt, and Jill Mitchell provides a practical introduction to financial accounting with a focus on how to use accounting information to make business decisions. Through significant course updates, the 10th Edition presents an active, hands-on approach to spark efficient and effective learning and develops the necessary skills to inspire and prepare students to be the accounting and business professionals of tomorrow. To ensure maximum understanding, students work through integrated assessment at different levels of difficulty right at the point of learning. The course's varied assessment also presents homework and assessment within real-world contexts to help students understand the why and the how of accounting information and business application. Throughout the course, students also work through various hands-on activities including Cookie Creations Cases, Expand Your Critical Thinking Questions, Excel Templates, and Analytics in Action problems, all within the accounting context. These applications all map to chapter material, making it easier for instructors to determine where and how to incorporate key skill development in their syllabus. With Financial Accounting, students will understand the foundations of financial accounting and develop the necessary tools for business decision-making, no matter what path they take. |
| energy trading data analytics software: Reshaping Environmental Science Through Machine Learning and IoT Gupta, Rajeev Kumar, Jain, Arti, Wang, John, Pateriya, Rajesh Kumar, 2024-05-06 In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI). |
| energy trading data analytics software: Predictive Analytics for Energy Efficiency and Energy Retailing Konstantin Hopf, 2019-07-15 |
| energy trading data analytics software: Artificial Intelligence-based Smart Power Systems Sanjeevikumar Padmanaban, Sivaraman Palanisamy, Sharmeela Chenniappan, Jens Bo Holm-Nielsen, 2022-12-20 Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications. |
| energy trading data analytics software: Advancing Software Engineering Through AI, Federated Learning, and Large Language Models Sharma, Avinash Kumar, Chanderwal, Nitin, Prajapati, Amarjeet, Singh, Pancham, Kansal, Mrignainy, 2024-05-02 The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics. |
| energy trading data analytics software: Data Analytics for Smart Grids Applications—A Key to Smart City Development Devendra Kumar Sharma, Rohit Sharma, Gwanggil Jeon, Raghvendra Kumar, 2024-01-03 This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids. |
| energy trading data analytics software: Derivatives and Risk Management , |
| energy trading data analytics software: Magnetic Field Measurement with Applications to Modern Power Grids Qi Huang, Arsalan Habib Khawaja, Yafeng Chen, Jian Li, 2019-08-14 A comprehensive review of the development, challenges and utilisation of magnetic field measurement Magnetic Field Measurement with Applications to Modern Power Grids offers an authoritative review of the development of magnetic field measurement and the application of the technology to the smart grid. The authors, noted experts in the field, present the challenges to the field of magnetics and explore the use of cutting-edge magnetic technology in the development of the smart grid. In addition, the authors discussed the applications of magnetic field measurements in substations, generations systems, transmission systems and distribution systems. The specialized applications of magnetic field measurements in these venues are explored including the typical sensors used, the field strength levels and spectral frequencies involved and the mathematics that are needed to process data measurements. The book presents the complex topic of electromagnetics in clear and understandable terms. Magnetic Field Measurement with Applications to Modern Power Grids offers researchers in the magnetic community a guide to the progress of the smart grid and helps to inspire innovation of magnetic technologies in the smart grid. The technologies of measurement are a bridge between mathematical models and application oriented practice. The book is a guide to that bridge and: Offers a comprehensive review of the development of magnetic field measurement Shows how magnetic field measurement applies to the smart grid Outlines the challenges, trends and needs for future magnetic measurement systems Includes information on the need for levels of standardisation, smart grid applications and innovative sensors Written for researchers in smart grid, power engineers, power grid companies and professionals in the measurement and test industries, Magnetic Field Measurement with Applications to Modern Power Grids is an authoritative guide that offers a clear understanding of the relationship between the magnetic field measurement and power grids. |
| energy trading data analytics software: The Global Impact of Renewable Energy and Data Analytics Kingsley Onyeagusi, 2024-01-08 Academic Paper from the year 2023 in the subject Politics - Environmental Policy, , language: English, abstract: This article explores the critical role of renewable energy and intelligence systems in developing countries seeking to expand energy access and for developed nations working to decarbonise energy systems. The opportunities, challenges, and impacts of the renewable's revolution vary between poor nations with limited existing infrastructure and rich countries possessing advanced technical capabilities. However, data-driven solutions are invaluable in maximising clean energy potential everywhere while managing variability. By comparing and contrasting the nuances of integrating high shares of solar, wind, and other renewables onto grids in Asia, Africa, the Americas, and Europe, insights and best practices can be shared across borders. Artificial intelligence and machine learning are unlocking the promise of renewable energy worldwide through sophisticated forecasting of supply and demand, optimal location of projects, predictive maintenance of assets, and real-time management of complex systems. However, technology gaps and a lack of technical expertise hamper many developing nations. Targeted financing, capacity building, and knowledge transfer are critical to empowering these regions to benefit from data and renewables in providing affordable, reliable, and sustainable energy access. This article highlights significant trends, analyses case studies of success, and synthesises expert perspectives across the developed and developing world. By documenting the global impacts of renewables and analytics, stakeholders ranging from policymakers to investors can make informed decisions that steer all nations towards a decarbonised energy future that leaves no one behind. The insights can help guide an inclusive and just transition worldwide. |
| energy trading data analytics software: Pioneering Views: Pushing the Limits of Your CTRM ETRM Pioneer Solutions, We don’t need to dwell on how we are living in an increasingly competitive and fast-paced world. Conditions that put pressure on companies to change. Not just their markets, operations, and organizations but also their beliefs. Those willing to take risk, step out of their comfort zone and into the discomfort of uncertainty will be those who will reap the biggest rewards. The current playbook just doesn’t work anymore, and neither do legacy C/ETRM systems or established expectations on how to implement them. Those ageing designs do not provide the flexibility to evolve with the business, while modern C/ETRM systems are implemented in months instead of years. “So, why get out of your comfort zone and implement a Next Generation C/ETRM system? Because that’s where the magic happens! Investing in a modern C/ETRM system will support your new playbook for not just surviving but succeeding in today’s disruptive business world. This eBook provides C/ETRM solutions crafted to inspire those who lead the way. |
| energy trading data analytics software: ISUW 2021 Reji Kumar Pillai, B. P. Singh, N. Murugesan, 2022-05-27 This book presents selected articles from INDIA SMART UTILTY WEEK (ISUW 2021), which is the seventh edition of the Conference cum Exhibition on Smart Grids and Smart Cities, organized by India Smart Grid Forum from 02-05 March 2021, in New Delhi, India. ISGF is a public private partnership initiative of the Ministry of Power, Govt. of India with the mandate of accelerating smart grid deployments across the country. This book gives current scenario updates of Indian power sector business. It also highlights various disruptive technologies for power sector business. |
| energy trading data analytics software: Intelligent Techniques for Data Science Rajendra Akerkar, Priti Srinivas Sajja, 2016-10-11 This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism. |
| energy trading data analytics software: The World for Sale Javier Blas, Jack Farchy, 2021-02-01 The modern world is built on commodities - from the oil that fuels our cars to the metals that power our smartphones. We rarely stop to consider where they have come from. But we should. In The World for Sale, two leading journalists lift the lid on one of the least scrutinised corners of the world economy: the workings of the billionaire commodity traders who buy, hoard and sell the earth's resources. It is the story of how a handful of swashbuckling businessmen became indispensable cogs in global markets: enabling an enormous expansion in international trade, and connecting resource-rich countries - no matter how corrupt or war-torn - with the world's financial centres. And it is the story of how some traders acquired untold political power, right under the noses of western regulators and politicians - helping Saddam Hussein to sell his oil, fuelling the Libyan rebel army during the Arab Spring, and funnelling cash to Vladimir Putin's Kremlin in spite of western sanctions. The result is an eye-opening tour through the wildest frontiers of the global economy, as well as a revelatory guide to how capitalism really works. |
| energy trading data analytics software: IoT and Analytics in Renewable Energy Systems (Volume 2) O.V. Gnana Swathika, K. Karthikeyan, Sanjeevikumar Padmanaban, 2023-08-11 Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications |
| energy trading data analytics software: Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid Hazra, Sunanda, Sultana, Sneha, Roy, Provas Kumar, 2024-07-17 Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure. |
| energy trading data analytics software: Energy Sustainability through Retail Electricity Markets John Collins, Wolfgang Ketter, Andreas L. Symeonidis, 2023-12-16 The world is moving away from demand-driven electricity markets supplied by centralized generation and distribution of fossil-fuel-produced electricity. Increasing reliance on weather-dependent renewable sources will require a shift toward a supply-driven paradigm, while beneficial electrification, including widespread adoption of electric vehicles, heat pumps, and batteries will offer considerable but widely distributed demand flexibility that can be used to compensate for supply variability. The open-source Power Trading Agent Competition (Power TAC) platform simulates a decentralized future, modeling the high complexity of future retail electricity markets. This book describes a variety of approaches to profitable trading in realistic wholesale and retail electricity markets. It presents actionable insights from extensive exploration of policies and business models for retail electricity markets gained from a decade of Power TAC tournaments, and from research inspired by the Power TAC experience. Featuring contributions from tournament designers, competitors, and scientists combining best practices from computer science and economics and management science, this book is of benefit to academics, researchers, practitioners and policy makers in sustainable energy and wholesale and retail electricity markets. |
| energy trading data analytics software: Information and Software Technologies Audrius Lopata, Daina Gudonienė, Rita Butkienė, 2024-02-10 This book constitutes the refereed proceedings of the 29th International Conference on Information and Software Technologies, ICIST 2023, held in Kaunas, Lithuania, in October 2023. The 27 full papers included in this volume were carefully reviewed and selected from 75 submissions. These proceedings contain a diverse array of research and insights in the field of Information Technology and related areas, such as: intelligent systems and software engineering advances, intelligent methods for data analysis and computer aided software engineering, language technologies and smart e-learning applications, AI-based it solutions. |
| energy trading data analytics software: Industry 4.0 Vision for the Supply of Energy and Materials Mahdi Sharifzadeh, 2022-06-01 Industry 4.0 Vision for the Supply of Energy and Materials Explore the impact of Industry 4.0 technologies on the supply chain with this authoritative text written by a leader in his field In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of enablers and analytics of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will discover uses of these new technologies ranging from the supply of conventional energy networks to renewables, pharmaceuticals, and additive manufacturing. You will also learn about their implications for economic prosperity and environmental sustainability. For each sector, this book scrutinizes current industrial practice and discusses developing concepts. Finally, the book concludes with potential future research directions of interest to industry practitioners and academics alike. Readers will also benefit from the inclusion of: A thorough introduction to connectivity through wireless communications and remote sensors An exploration of blockchains and smart contracts, as well as robotics and automation and cloud computing Practical discussions of supply chain analytics, including big data, machine-learning, and artificial intelligence, as well as supply chain modeling, optimization, and control A concise treatment of Industry 4.0 applications in supply chain design and operation, including the circular economy and the power industry An analysis of the oil, gas, and petrochemical industry, the pharmaceutical industry, and additive manufacturing Perfect for PhD-level and Postdoctoral researchers and industrial researchers, Industry 4.0 Vision for the Supply of Energy and Materials will also earn a place in the libraries of working professionals with an interest in the quantitative analysis of Supply Chain 4.0 concepts and techniques. |
| energy trading data analytics software: Data Analytics for Drilling Engineering Qilong Xue, 2019-12-30 This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists. |
| energy trading data analytics software: Intelligent Data Engineering and Analytics Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi, 2020-08-29 This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines. |
| energy trading data analytics software: Smart Technologies for Power and Green Energy Rudra Narayan Dash, Akshay Kumar Rathore, Vinod Khadkikar, Ranjeeta Patel, Manoj Debnath, 2022-09-21 The book is a collection of best selected research papers presented at International Conference on Smart Technology for Power and Green Energy (STPGE 2022), organized by School of Electrical Engineering, KIIT, Deemed to be University, Bhubaneswar, India, during February 12 – 13, 2022. The book discusses recent developments and contemporary research in power electronics and energy. |
| energy trading data analytics software: World of Business with Data and Analytics Neha Sharma, Mandar Bhatavdekar, 2022-09-28 This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any industry and technology environment. This book helps us become a contributor to and accelerator of artificial intelligence, data science and analytics, deploy a structured life-cycle approach to data related issues, apply appropriate analytical tools & techniques to analyze data and deliver solutions with a difference. It also brings out the story-telling element in a compelling fashion using data and analytics. This prepares the readers to drive quantitative and qualitative outcomes and apply this mindset to various business actions in different domains such as energy, manufacturing, health care, BFSI, security, etc. |
| energy trading data analytics software: Technical Analysis of the Financial Markets John J. Murphy, 1999-01-01 John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior. |
| energy trading data analytics software: Applying Predictive Analytics Within the Service Sector Sahu, Rajendra, Dash, Manoj, Kumar, Anil, 2017-02-07 Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the latest innovative perspectives on the incorporation of analysis techniques to enhance business performance. Examining a wide range of relevant topics, such as alternative clustering, recommender systems, and social media tools, this book is ideally designed for researchers, academics, students, professionals, and practitioners seeking scholarly material on business improvement in the service industry. |
| energy trading data analytics software: Digital Technologies to Implement the UN Sustainable Development Goals Walter Leal Filho, |
| energy trading data analytics software: Smart Grids and Big Data Analytics for Smart Cities Chun Sing Lai, Loi Lei Lai, Qi Hong Lai, 2020-10-31 This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering. |
| energy trading data analytics software: Finance Analytics in Business Sanjay Taneja, Pawan Kumar, Kiran Sood, Ercan Özen, Simon Grima, 2024-06-17 Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance. |
| energy trading data analytics software: Power BI Rob Botwright, 101-01-01 Unlock the Full Potential of Your Data with the Power BI Data Mastery Made Easy Book Bundle! Are you ready to transform your data into actionable insights and make informed decisions that drive success? Look no further! Introducing the Power BI Data Mastery Made Easy book bundle, a comprehensive collection of resources that will empower you to harness the true power of Microsoft's leading business intelligence and data visualization tool—Power BI. Here's what you'll discover in this incredible bundle: Book 1 - Power BI Essentials: A Beginner's Guide to Data Visualization Mastery · Ideal for beginners: Build a solid foundation in data visualization. · Learn to import and transform data from various sources. · Create stunning visualizations that tell compelling data stories. · Master the art of data analysis and visualization. Book 2 - Mastering Power BI: Advanced Techniques and Best Practices for Analysts · Elevate your skills to the next level with advanced techniques. · Discover best practices for tackling complex analytical challenges. · Master DAX formulas and optimize data models. · Become an analytics expert and excel in your field. Book 3 - Power BI Data Modeling: Building Robust Datasets for Effective Analysis · Unlock the full potential of Power BI with robust data modeling. · Design efficient and flexible data models. · Establish relationships between tables and optimize performance. · Gain the skills to create powerful data sets for effective analysis. Book 4 - Expert Power BI: Advanced Analytics and Custom Visualizations Mastery · Dive into the world of advanced analytics and custom visuals. · Explore machine learning integration and geographic analysis. · Push the boundaries of data analysis and create custom solutions. · Become a Power BI expert and stand out in your field. Whether you're a business professional, data analyst, or IT specialist, this book bundle equips you with the knowledge and skills needed to transform your data into a valuable asset. With Power BI's dynamic and ever-evolving capabilities, these books will keep you on the cutting edge of data analytics. Don't miss out on this opportunity to embark on a journey of discovery, learning, and mastery in the world of Power BI. Your ability to turn data into actionable insights is the key to informed decision-making and driving success in today's data-centric environment. Grab the Power BI Data Mastery Made Easy book bundle today and start your exciting adventure into the world of Power BI—where data mastery is within reach for everyone! |
| energy trading data analytics software: Computational Intelligence Applications in Business Intelligence and Big Data Analytics Vijayan Sugumaran, Arun Kumar Sangaiah, Arunkumar Thangavelu, 2017-06-26 There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book. |
| energy trading data analytics software: Advances in Sustainable Energy Yong-jun Gao, Weixin Song, Jingbo Louise Liu, Sajid Bashir, 2021-09-08 This books provides a comprehensive platform to the scientific, education and research communities working on various fields related to sustainable energy. It covers the exploration, generation and application of this area to meet societal needs as well as addressing global issues related to the environment. The content of this book presents research related to energy and how to tackle climate change as a comprehensive framework based on the success of the Millennium Development Goals (MDGs). The authors use the scientific method to analyze and deliver viable technical solutions, demonstrating how chemistry and engineering can be combined to solve technically challenging problems. While maintaining high scientific rigor, a quantitative approach is offered in select chapters to the study of energy related to our societies increasing need for electrical and chemical energy feedstocks. |
| energy trading data analytics software: Handbook of Smart Energy Systems Michel Fathi, Enrico Zio, Panos M. Pardalos, 2023-08-04 This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field. |
| energy trading data analytics software: Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing Amit Kumar Tyagi, Shrikant Tiwari, Senthil Kumar Arumugam, Avinash Kumar Sharma, 2024-10-15 An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals. |
| energy trading data analytics software: Risk , 2001 |
| energy trading data analytics software: Plunkett's Investment & Securities Industry Almanac Jack W. Plunkett, 2008 The investment and securities industry is rebounding from the dismal markets of the early 2000s. Improved corporate profits, low interest rates and efforts to improve corporate governance have led the way, despite recent scandals in the mutual funds industry. Meanwhile, the investment industry is increasingly a global business. This is partly due to the needs of multinational corporations to list their stocks or issue debt in more than one nation. For example, ADRs (American Depository Receipts) are increasingly popular instruments. Cross-border investments and acquisitions continue at a rapid pace. Discount brokerages are enjoying improved levels of trading, while investment banks are developing new ways to create lucrative fees. This carefully-researched book (which includes a database of leading companies on CD-ROM) is a complete investments, securities and asset management market research and business intelligence tool -- everything you need to know about the business of investments, including: 1) Investment banking, 2) Stock brokers, 3) Discount brokers, 4) Online brokers, 5) Significant trends in financial information technologies, 6) Asset management, 7) Stock ownership by individuals and households, 8) 401(k)s and pension plans, 9) Mutual funds, 10) ETFs (Exchange traded funds), 11) ECNs (Electronic Communication Networks), 12) Developments at the NYSE and other exchanges. The book includes a complete chapter of vital industry statistics, an industry glossary, a complete list of industry contacts such as industry associations and government agencies, and our in-depth profiles of more than 300 leading firms in the investment and asset management business. A CD-ROM database of these firms is included with the book. |
| energy trading data analytics software: Computerworld , 2006-06-19 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
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