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商品詳細
Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications.
・ISBN 978-1-032-47206-5 hard GB£ 83.99
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| 著者・編者 | Prusty, B Rajanarayan / Gupta, Neeraj / Bingi, Kishore / Sehgal, Rakesh (eds.), |
|---|---|
| シリーズ | (Intelligent Data-Driven Systems and Artificial Intelligence) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2024 |
| ページ数 | 238 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-96312＞ |
解説
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:
- an exclusive section on essential preprocessing approaches for the data-driven model
- a detailed overview of data-driven model applications to power system planning and operational activities
- specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and
- showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks
This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.