Description: Data Analytics in Power Markets, Hardcover by Chen, Qixin; Guo, Hongye; Zheng, Kedi; Wang, Yi, ISBN 981164974X, ISBN-13 9789811649745, Brand New, Free P&P in the UK 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 th 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 th 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 th 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 and make essential policies. It will benefit and inspire researchers, graduate students, and engineers in the related fields.
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Book Title: Data Analytics in Power Markets
Item Height: 235 mm
Item Width: 155 mm
Author: Qixin Chen, Yi Wang, Kedi Zheng, Hongye Guo
Publication Name: Data Analytics in Power Markets
Format: Hardcover
Language: English
Publisher: Springer Verlag, Singapore
Subject: Economics, Engineering & Technology, Computer Science, Business
Publication Year: 2021
Type: Textbook
Item Weight: 623 g
Number of Pages: 284 Pages