Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand

This article focuses on developing both statistical and machine learning approaches for forecasting hourly electricity demand in Ontario. The novelties of this study include (i) identifying essential factors that have a significant effect on electricity consumption, (ii) the execution of a Bayesian...

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Bibliographic Details
Published in:	Energies (Basel) Vol. 15; no. 9; p. 3425
Main Authors:	Sultana, Nahid, Hossain, S. M. Zakir, Almuhaini, Salma Hamad, Düştegör, Dilek
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2022
Subjects:	Accuracy Artificial intelligence Bayesian optimization algorithm Electricity electricity demand Energy consumption Forecasting GDP Genetic algorithms Gross Domestic Product Literature reviews Machine learning NARX Neural networks Optimization algorithms SARIMAX short-term forecast Statistical analysis Teaching Canada Ontario Canada Pakistan
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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