Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
2023 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Lecture Notes in Electrical Engineering
ISBN-10
9811964890
ISBN-13
9789811964893
Edition
2023 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 21st, 2023
Print length
198 Pages
Ksh 25,200.00
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This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.
This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.
Get Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has pages.
