eBook - PDF
Green Machine Learning and Big Data for Smart Grids
Practices and Applications
- 400 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Green Machine Learning and Big Data for Smart Grids
Practices and Applications
About this book
Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green" machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.
- Packages core concepts of green machine learning and smart grids in a clear, understandable way
- Includes real-world, practical applications and case studies for replication and innovative solution development
- Introduces readers with a range of expertise to best practices and the latest technological advances
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Yes, you can access Green Machine Learning and Big Data for Smart Grids by V. Indragandhi,R. Elakkiya,V. Subramaniyaswamy in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Green Machine Learning and Big Data for Smart Grids
- Copyright Page
- Contents
- List of contributors
- Preface
- 1 Introduction to smart grid and the need for green solutions
- 2 Smart grid technologies through data preprocessing and feature engineering: role in demand response and green machine lea...
- 3 An analysis of smart grid and management through data analytical models
- 4 Analysis and real-time implementation of power line disturbances test in smart grid
- 5 Energy efficiency and conservation using machine learning
- 6 Smart grid stability prediction using binary manta ray foraging-based machine learning
- 7 CO2 emissions: machine learning models for assessing the economic & environmental impact of fossil fuels and electric veh...
- 8 Detection of electricity theft in Chinese power utility state grid corporation using hybrid deep learning model
- 9 Paradigm shift from machine learning to federated learning
- 10 Blockchain-backed design for an indestructible electric vehicle charging system
- 11 Thermal management of battery for electric vehicle
- 12 Optimal DG placement and FCL sizing using fuzzy-SSOA algorithm
- 13 Drive control strategies for PMSM drives in electric vehicles
- 14 Power management system for electric traction integrated with microgrid
- 15 A vehicle-to-grid and grid-to-vehicle off-board DC fast charger for an electric vehicle
- 16 The global energy landscape and the smart grid: a paradigm shift towards sustainability
- 17 Empowering a sustainable future: unleashing the potential of machine learning for energy efficiency and conservation
- 18 An analysis of IoT and machine learningāenabled smart grids for sustainable and futureāpro energy management
- 19 Grid integration of renewable energy sources: challenges and solutions
- Index
- Back Cover