Development of a Short-Term Electrical Load Forecasting in Disaggregated Levels Using a Hybrid Modified Fuzzy-ARTMAP Strategy

Development of a Short-Term Electrical Load Forecasting in Disaggregated Levels Using a Hybrid Modified Fuzzy-ARTMAP Strategy

In recent years, electrical systems have evolved, creating uncertainties in short-term economic dispatch programming due to demand fluctuations from self-generating companies. This paper proposes a flexible Machine Learning (ML) approach to address electrical load forecasting at various levels of di...

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Bibliographic Details
Main Authors: Leonardo Brain García Fernández, Anna Diva Plasencia Lotufo, Carlos Roberto Minussi
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Energies
Subjects:
electrical load forecasting in disaggregated level
machine learning
adaptive resonance theory
neural networks
support vector machine
wavelet filters
Online Access:https://www.mdpi.com/1996-1073/16/10/4110

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