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...

Full description

Autores:

Moreno Chuquen, Ricardo
Chamorro, Harold R.
Riquelme Domínguez, José Miguel
González Longatt, Francisco
Cantillo Luna, Sergio Alejandro

Tipo de recurso:

Article of journal

Fecha de publicación:

2022

Institución:

Universidad Autónoma de Occidente

Repositorio:

RED: Repositorio Educativo Digital UAO

Idioma:

eng

OAI Identifier:

oai:red.uao.edu.co:10614/14654

Acceso en línea:

https://hdl.handle.net/10614/14654
https://red.uao.edu.co/

Palabra clave:

Aprendizaje profundo (Aprendizaje automático)
Deep learning (Machine learning)
Electricity markets
Llocational marginal price (LMP)
Machine learning
Multi-output regression

Rights

openAccess

License

Derechos Reservados Revista Energies MDPI