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Data Analytics in Power Markets (Hardcover, 1st ed. 2021)
Loot Price: R3,630
Discovery Miles 36 300
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Data Analytics in Power Markets (Hardcover, 1st ed. 2021)
Expected to ship within 12 - 17 working days
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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.
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