Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions

<p dir="ltr">The incorporation of weather variables is crucial in developing an effective demand forecasting model because electricity demand is strongly influenced by weather conditions. The dependence of demand on weather conditions may change with time during a day. Therefore, the...

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Bibliographic Details
Main Author:	Dao H. Vu (19517236) (author)
Other Authors:	Kashem M. Muttaqi (19517239) (author), Ashish P. Agalgaonkar (19517242) (author), Arian Zahedmanesh (19517245) (author), Abdesselam Bouzerdoum (17900021) (author)
Published:	2022
Subjects:	Engineering Electronics, sensors and digital hardware Information and computing sciences Data management and data science Machine learning Autoregressive (AR) model load forecasting multi-layer moving window Pearson correlation Spearman correlation Predictive models Meteorology Load modeling Demand forecasting Australia Adaptation models Correlation
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Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions

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