This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid.
Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid.
Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive ...
This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management.
This book provides a general overview of virtual power plants (VPP) as a key technology in future energy communities and active distribution and transmission networks for managing distributed energy resources, providing local and global ...
The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things.
The book benefits researchers, engineers, and graduate students in the fields of energy internet, electrical engineering, and business administration, etc. This book focuses on the business operation of virtual power plants.
This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management.
Provides an overview of the innovations and challenges from the algorithm development portion of the GO-Solar project, including plain language introductions to matrix-completion based state estimation, multi-kernel learning based state ...
This book will be useful for students, research scholars, practitioners, and academicians. The book deals with integrated distributed energy resources in existing power systems optimally to mitigate power quality issues in power systems.