An integrated method based on relevance vector machine for short-term load forecasting
type: Item
instance of: scholarly article
title: An integrated method based on relevance vector machine for short-term load forecasting
zbMATH Open document ID: 1487.91076
author: Jia Ding
author: Maolin Wang
author: Zuowei Ping
author: Dongfei Fu
author: Vassilios S. Vassiliadis
published in: European Journal of Operational Research
publication date: 2021-05-03T00:00:00Z
Mathematics Subject Classification ID: 91B74
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 7342747
zbMATH Keywords: short-term load forecasting
zbMATH Keywords: relevance vector machine
zbMATH Keywords: machine learning
zbMATH Keywords: wavelet transform
zbMATH Keywords: feature selection
MaRDI profile type: Publication
full work available at URL: j.ejor.2020.04.007
OpenAlex ID: W3027998989
cites work: Short-run electricity load forecasting with combinations of stationary wavelet transforms
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cites work: Q3093335
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cites work: Short-term electricity demand forecasting using double seasonal exponential smoothing
cites work: 10.1162/15324430152748236
DOI: 10.1016/J.EJOR.2020.04.007
description: scientific article; zbMATH DE number 7342747