| 書(shū)目名稱 | Core Concepts and Methods in Load Forecasting |
| 副標(biāo)題 | With Applications in |
| 編輯 | Stephen Haben,Marcus Voss,William Holderbaum |
| 視頻video | http://file.papertrans.cn/239/238227/238227.mp4 |
| 概述 | Is the first textbook on load forecasting for the distribution network.Brings together both statistical and machine learning topics.Includes colorful illustrations and practical examples from many sec |
| 圖書(shū)封面 |  |
| 描述 | .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...?. |
| 出版日期 | Textbook‘‘‘‘‘‘‘‘ 2023 |
| 關(guān)鍵詞 | Load forecasting; Probabilistic forecasting; Smart grid applications; Distribution networks; Low voltage |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-27852-5 |
| isbn_softcover | 978-3-031-27854-9 |
| isbn_ebook | 978-3-031-27852-5 |
| copyright | The Editor(s) (if applicable) and The Author(s) 2023 |
|Archiver|手機(jī)版|小黑屋|
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