A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models

A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models

Production of electricity from the burning of fossil fuels has caused an increase in the emission of greenhouse gases. In the long run, greenhouse gases cause harm to the environment. To reduce these gases, it is important to accurately forecast electricity production, supply and consumption. Foreca...

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Bibliographic Details
Main Authors: Madeline Hui Li Lee, Yee Chee Ser, Ganeshsree Selvachandran, Pham Huy Thong, Le Cuong, Le Hoang Son, Nguyen Trung Tuan, Vassilis C. Gerogiannis
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Mathematics
Subjects:
electricity consumption
artificial neural network
adaptive neuro-fuzzy inference system
least squares support vector machines
fuzzy time series
fuzzy system
Online Access:https://www.mdpi.com/2227-7390/10/8/1329

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https://www.mdpi.com/2227-7390/10/8/1329

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