Titlebook: Data Analytics in Power Markets; Qixin Chen,Hongye Guo,Yi Wang Book 2021 Science Press 2021 Power markets.bidding strategy.machine learnin

偏離

Aggregated Supply Curves Forecastingfficult to directly forecast the rivals’ individual bids due to the information privacy and volatile characteristics of individual bidding behaviors. From another point of view, the aggregation of individual bids, denoted as aggregated supply curve (ASC), might be helpful to offset the uncertainties

Connotation

Kidnap

Reward Function Identification of?GENCOss accurately defining the individual reward function (or objective function). Considering the information barriers between market participants and researchers, the common way is to develop reward functions based on theoretical assumptions, which will inevitably cause deviations from the real world.

改革運動

知識分子

勉強

https://doi.org/10.1007/978-981-16-4975-2Power markets; bidding strategy; machine learning; price forecasting; load forecasting

舊病復(fù)發(fā)

lattice

Correction to: Introduction to Power Market Data,In the original version of the book, the following belated corrections have been made

Acetaldehyde

Meredith E. Safran,Monica S. Cyrinomatic changes for system operators, generation companies, and electricity consumers. The operation of power markets constantly produces valuable market data which can support the decision of both market organizers and market participants. This chapter presents an introduction to power market data. F

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