Assessing the Impact of the COVID-19 Pandemic on Electricity Consumption: A Machine Learning Approach

Assessing the Impact of the COVID-19 Pandemic on Electricity Consumption: A Machine Learning Approach

This study aims to quantitatively assess the impact of the COVID-19 pandemic on societal electricity consumption behavior, particularly considering the interference of special events. Currently, there is insufficient quantitative analysis of the extent to which the COVID-19 pandemic affects electric...

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Bibliographic Details
Main Authors: Xiaorui Qian, Huawei Hong, Xiangpeng Zhan, Yuman Wang, Yuying Chen, Kai Xiao, Yihui Huang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
COVID-19 pandemic
electricity consumption
lunar calendar alignment
abnormality detection
time series prediction
Online Access:https://ieeexplore.ieee.org/document/10471396/

Internet

https://ieeexplore.ieee.org/document/10471396/

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