Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory

Liu, Xiaolei and Lin, Zi (2021) Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory. Energy, 227. p. 120455. ISSN 0360-5442

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Official URL: https://doi.org/10.1016/j.energy.2021.120455

Abstract

Due to lockdown measures taken by the UK government during the Coronavirus disease 2019 pandemic, the national electricity demand profile presented a notably different performance. The Coronavirus disease 2019 crisis has provided a unique opportunity to investigate how such a landscape-scale lockdown can influence the national electricity system. However, the impacts of social and economic restrictions on daily electricity demands are still poorly understood. This paper investigated how the UK-wide electricity demand was influenced during the Coronavirus disease 2019 crisis based on multivariate time series forecasting with Bidirectional Long Short Term Memory, to comprehend its correlations with containment measures, weather conditions, and renewable energy supplies. A deep-learning-based predictive model was established for daily electricity demand time series forecasting, which was trained by multiple features, including the number of coronavirus tests (smoothed), wind speed, ambient temperature, biomass, solar & wind power supplies, and historical electricity demand. Besides, the effects of Coronavirus disease 2019 pandemic on the Net-Zero target of 2050 were also studied through an interlinked approach.

Item Type: Article
Uncontrolled Keywords: Coronavirus disease 2019, Electricity demand, Renewable power supplies, Bi-LSTM
Subjects: G900 Others in Mathematical and Computing Sciences
H800 Chemical, Process and Energy Engineering
L100 Economics
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 30 Apr 2021 10:42
Last Modified: 30 Apr 2021 10:45
URI: http://nrl.northumbria.ac.uk/id/eprint/46065

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