Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting - Lecture Notes in Electrical Engineering -  - Grāmatas - Springer Verlag, Singapore - 9789811964923 - 2024. gada 21. janvāris
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Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting - Lecture Notes in Electrical Engineering 2023 edition

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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.


198 pages, 54 Illustrations, color; 14 Illustrations, black and white; XII, 198 p. 68 illus., 54 ill

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2024. gada 21. janvāris
ISBN13 9789811964923
Izdevēji Springer Verlag, Singapore
Lapas 198
Izmēri 150 × 220 × 10 mm   ·   368 g
Redaktors Gaur, Prerna
Redaktors Jin, Xiaolong
Redaktors Tomar, Anuradha

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