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 clearance. Then, it 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 works try 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. Finally, 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 and topology identification, componential price forecasting, quantifying the forecasting error impact, financial derivative investment, and abnormal detection of LMP data. It will benefit and inspire researchers, graduate students, and engineers in the related fields.

Book Information
ISBN 9789811649745
Author Qixin Chen
Format Hardback
Imprint Springer Verlag, Singapore
Publisher Springer Verlag, Singapore
Weight(grams) 155g