Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting (Hardcover)

Language: English

Published by Springer Verlag, Singapore, Singapore, 2023

9811964890 / 9789811964893

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Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Seller Inventory # 9789811964893

Title
Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting (Hardcover)
Author
Anuradha Tomar
Publisher
Springer Verlag, Singapore, Singapore
Publication year
2023
Condition
new
Binding
Hardcover
Language
English
ISBN 10
9811964890
ISBN 13
9789811964893

Grand Eagle Retail

Bensenville, IL, U.S.A.

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