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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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Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting - Lecture Notes in Electrical Engineering
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, 20 Tables, color; 54 Illustrations, color; 14 Illustrations, black and white; XII, 198 p.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2023. gada 21. janvāris |
| ISBN13 | 9789811964893 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 198 |
| Izmēri | 150 × 220 × 20 mm · 527 g |
| Redaktors | Gaur, Prerna |
| Redaktors | Jin, Xiaolong |
| Redaktors | Tomar, Anuradha |
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