Data Analytics in Power Markets (Hardcover, 1st ed. 2021)

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 and make essential policies. It will benefit and inspire researchers, graduate students, and engineers in the related fields.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	October 2021
First published:	2021
Authors:	Qixin Chen • Hongye Guo • Kedi Zheng • Yi Wang
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	273
Edition:	1st ed. 2021
ISBN-13:	978-981-16-4974-5
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Earth & environment > The environment > Environmental economics > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	981-16-4974-X
Barcode:	9789811649745

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