Data Analytics in Power Markets

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Éditeur :

Springer


Paru le : 2021-10-01

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Description

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.
Pages
273 pages
Collection
n.c
Parution
2021-10-01
Marque
Springer
EAN papier
9789811649745
EAN PDF
9789811649752

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
9687 Ko
Prix
157,29 €
EAN EPUB
9789811649752

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
47145 Ko
Prix
157,29 €

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