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Core Concepts and Methods in Load Forecasting: With Applications in Distribution Networks. 2023 ed.
・ISBN 978-3-031-27854-9 paper EUR 42.79
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| 著者・編者 | Haben, Stephen / Voss, Marcus / Holderbaum, William, |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 331 pp. |
| 言語 | ENG |
| ニュース番号 | <A03-12176> |
解説
This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.
From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital.
This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization.