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

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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Bibliographic Details
Main Authors: Sergio Cantillo-Luna, Ricardo Moreno-Chuquen, Harold R. Chamorro, Jose Miguel Riquelme-Dominguez, Francisco Gonzalez-Longatt
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Energies
Subjects:
electricity markets
locational marginal price (LMP)
machine learning
multi-output regression
Online Access:https://www.mdpi.com/1996-1073/15/1/293

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https://www.mdpi.com/1996-1073/15/1/293

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