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A Temporal-Spatial Model Based Short-Term Power Load Forecasting Method in COVID-19 Context
2022
Frontiers in Energy Research
The worldwide coronavirus disease 2019 (COVID-19) pandemic has greatly affected the power system operations as a result of the great changes of socio-economic behaviours. This paper proposes a short-term load forecasting method in COVID-19 context based on temporal-spatial model. In the spatial scale, the cross-domain couplings analysis of multi-factor in COVID-19 dataset is performed by means of copula theory, while COVID-19 time-series data is decomposed via variational mode decomposition
doi:10.3389/fenrg.2022.923311
fatcat:s7rvpsvu2rhxhemjjmmhc6mnwu