Forecasting Daily Electricity Consumption in Thailand Using Regression, Artificial Neural Network, Support Vector Machine, and Hybrid Models

Forecasting Daily Electricity Consumption in Thailand Using Regression, Artificial Neural Network, Support Vector Machine, and Hybrid Models

This article involves forecasting daily electricity consumption in Thailand. Electricity consumption data are provided by the Electricity Generating Authority of Thailand, the leading power utility state enterprise under the Ministry of Energy. Five forecasting techniques, including multiple linear...

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Bibliographic Details
Main Authors: Warut Pannakkong, Thanyaporn Harncharnchai, Jirachai Buddhakulsomsiri
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
daily electricity consumption
forecasting
artificial neural network
sequential grid search
support vector machine
multiple linear regression
Online Access:https://www.mdpi.com/1996-1073/15/9/3105

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