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

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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 a978-981-16-4977-6978-981-16-4975-2

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Monthly Electricity Consumption Forecastingaptively, which appropriately addresses the contradiction between data quantity and data length. The SAS-SVECM achieves significant forecasting accuracy enhancement and good adaptability. Finally, an empirical example, using real monthly electricity consumption and macroeconomic data of China (2000–