Locational Marginal Price Forecasting Using SVR-Based Multi-Output Regression in Electricity Markets

Electricity markets provide valuable data for regulators, operators, and investors. The use of machine learning methods for electricity market data could provide new insights about the market, and this information could be used for decision-making. This paper proposes a tool based on multi-output re...

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書誌詳細

主要な著者:	Sergio Cantillo-Luna, Ricardo Moreno-Chuquen, Harold R. Chamorro, Jose Miguel Riquelme-Dominguez, Francisco Gonzalez-Longatt
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-01-01
シリーズ:	Energies
主題:	electricity markets locational marginal price (LMP) machine learning multi-output regression
オンライン･アクセス:	https://www.mdpi.com/1996-1073/15/1/293
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