Hybrid Load Forecasting Using Gaussian Process Regression and Novel Residual Prediction

Hybrid Load Forecasting Using Gaussian Process Regression and Novel Residual Prediction

Short-term electricity load forecasting has attracted considerable attention as a result of the crucial role that it plays in power systems and electricity markets. This paper presents a novel hybrid forecasting method that combines an autoregressive model with Gaussian process regression. Mixed-use...

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Bibliographic Details
Main Authors: Cosmin Darab, Antoniu Turcu, Horia Gheorghe Beleiu, Sorin Pavel, Iulian Birou, Dan Doru Micu, Stefan Ungureanu, Stefan Dragos Cirstea
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
energy forecasting
Gaussian process regression
machine learning models
empirical wavelet transform
residuals prediction
Online Access:https://www.mdpi.com/2076-3417/10/13/4588

Internet

https://www.mdpi.com/2076-3417/10/13/4588

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