Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory-Reference-Cited by-同舟云学术

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

Published:2021-07 Issue: Volume:227 Page:120455
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Liu Xiaolei^ORCID,Lin Zi^ORCID

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference31 articles.

1. Analysis: UK electricity generation in 2018 falls to lowest level since 1994. Carbon Brief,2020

2. Total electricity demand UK 2000-2019;Sönnichsen,2020

3. Coronavirus: PM says everyone should avoid office, pubs and travelling - BBC News,2020

4. Coronavirus updates: “You must stay at home” UK public told - BBC News,2020

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of COVID-19 preventive measures on electricity demand: Evidence from Colombia;Socio-Economic Planning Sciences;2024-10

2. The COVID-19 pandemic's impact on user consumption: A shift towards very efficient load forecasting;Sustainable Energy, Grids and Networks;2024-09

3. Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder;Applied Sciences;2024-09-01

4. To Study the Impact on Power Consumption in the COVID-19 Paradigm and Data-Driven Load Forecasting Technique with LSTM-RNN;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11

5. Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering;Results in Engineering;2024-06