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

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

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 time stamped weather informa...

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Bibliographic Details
Main Authors: Dao H. Vu, Kashem M. Muttaqi, Ashish P. Agalgaonkar, Arian Zahedmanesh, Abdesselam Bouzerdoum
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Autoregressive (AR) model
load forecasting
multi-layer moving window
Pearson correlation
Spearman correlation
Online Access:https://ieeexplore.ieee.org/document/9528002/

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