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Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting - 2023 ed.

By: (Edited by) Anuradha Tomar , (Edited by) Prerna Gaur , (Edited by) Xiaolong Jin

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Ksh 25,200.00

Format: Paperback or Softback

ISBN-10: 9811964920

ISBN-13: 9789811964923

Edition: 2023 ed.

Series: Lecture Notes in Electrical Engineering

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jan 21st, 2024

Print length: 198 Pages

Product Classification: Power generation & distribution
Alternative & renewable energy sources & technology
Artificial intelligence

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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.

Get Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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