| 书目名称 | Data Analytics in Power Markets | | 编辑 | Qixin Chen,Hongye Guo,Yi Wang | | 视频video | | | 概述 | Presents comprehensive data analytic methods in power markets.Introduces modeling, forecasting, pattern extraction, and related application in power markets.Provides case studies on real market datase | | 图书封面 |  | | 描述 | .This book aims to solve some key problems in the decision and optimization procedure for power market organizers and participants in data-driven approaches. It begins with an overview of the power market data and analyzes on their characteristics and importance for market clearing. Then, the first part of the book discusses the essential problem of bus load forecasting from the perspective of market organizers. The related works include load uncertainty modeling, bus load bad data correction, and monthly load forecasting. The following part of the book answers how much information can be obtained from public data in locational marginal price (LMP)-based markets. It introduces topics such as congestion identification, componential price forecasting, quantifying the impact of forecasting error, and financial transmission right investment. The final part of the book answers how to model the complex market bidding behaviors. Specific works include pattern extraction, aggregated supply curve forecasting, market simulation, and reward function identification in bidding. These methods are especially useful for market organizers to understand the bidding behaviors of market participants a | | 出版日期 | Book 2021 | | 关键词 | Power markets; bidding strategy; machine learning; price forecasting; load forecasting | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-4975-2 | | isbn_softcover | 978-981-16-4977-6 | | isbn_ebook | 978-981-16-4975-2 | | copyright | Science Press 2021 |
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发表于 2025-3-21 19:20:26
