Cargando…

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

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 lockdow...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Xiaolei, Lin, Zi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Ltd. 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758867/ https://www.ncbi.nlm.nih.gov/pubmed/36568128 http://dx.doi.org/10.1016/j.energy.2021.120455

Ejemplares similares

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory
por: Le, Thi-Thu-Huong, et al.
Publicado: (2023)

Electricity Generation Forecast of Shanghai Municipal Solid Waste Based on Bidirectional Long Short-Term Memory Model
por: Liu, Bingchun, et al.
Publicado: (2022)

Multivariate time series short term forecasting using cumulative data of coronavirus
por: Mishra, Suryanshi, et al.
Publicado: (2023)

Hierarchical attention network for multivariate time series long-term forecasting
por: Bi, Hongjing, et al.
Publicado: (2022)

Comparing Short-Term Univariate and Multivariate Time-Series Forecasting Models in Infectious Disease Outbreak
por: Assad, Daniel Bouzon Nagem, et al.
Publicado: (2022)

Multivariate time-series blood donation/demand forecasting for resilient supply chain management during COVID-19 pandemic
por: Shokouhifar, Mohammad, et al.
Publicado: (2022)

Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey
por: Koç, Erdinç, et al.
Publicado: (2021)

Temperature Prediction Based on Bidirectional Long Short-Term Memory and Convolutional Neural Network Combining Observed and Numerical Forecast Data
por: Jeong, Seongyoep, et al.
Publicado: (2021)

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method
por: Owusu, Frank Kofi, et al.
Publicado: (2023)

Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China
por: Zhang, Yong, et al.
Publicado: (2017)

Optimised extreme gradient boosting model for short term electric load demand forecasting of regional grid system
por: Qinghe, Zhao, et al.
Publicado: (2022)

Electricity Load and Price Forecasting Using Jaya-Long Short Term Memory (JLSTM) in Smart Grids
por: Khalid, Rabiya, et al.
Publicado: (2019)

Improving short-term water demand forecasting using evolutionary algorithms
por: Stańczyk, Justyna, et al.
Publicado: (2022)

Short-term forecasting of the coronavirus pandemic
por: Doornik, Jurgen A., et al.
Publicado: (2022)

Protein remote homology detection based on bidirectional long short-term memory
por: Li, Shumin, et al.
Publicado: (2017)

Application of bidirectional long short-term memory network for prediction of cognitive age
por: Wong, Shi-Bing, et al.
Publicado: (2023)

Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling †
por: Casteleiro-Roca, José-Luis, et al.
Publicado: (2019)

Multivariate Count Data Models for Time Series Forecasting
por: Shapovalova, Yuliya, et al.
Publicado: (2021)

Evaluation of interpretability methods for multivariate time series forecasting
por: Ozyegen, Ozan, et al.
Publicado: (2021)

Electric load forecasting based on Long-Short-Term-Memory network via simplex optimizer during COVID-19
por: Li, Xiaole, et al.
Publicado: (2022)

Effective short-term forecasts of Saudi stock price trends using technical indicators and large-scale multivariate time series
por: Aseeri, Ahmad O.
Publicado: (2023)

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
por: Cao, Pengfei, et al.
Publicado: (2019)

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles
por: Huang, Chenn-Jung, et al.
Publicado: (2023)

Attention-based bidirectional-long short-term memory for abnormal human activity detection
por: Kumar, Manoj, et al.
Publicado: (2023)

Interpolating Nonadiabatic Molecular Dynamics Hamiltonian with Bidirectional Long Short-Term Memory Networks
por: Wang, Bipeng, et al.
Publicado: (2023)

Adaptive grey model (AGM) approach for judgemental forecasting in short-term manufacturing demand
por: Mishra, R.S., et al.
Publicado: (2022)

Short-Term Demand Forecasting Method in Power Markets Based on the KSVM–TCN–GBRT
por: Yang, Guang, et al.
Publicado: (2022)

Short-Term Demand Forecast of E-Commerce Platform Based on ConvLSTM Network
por: Li, Zan, et al.
Publicado: (2022)

IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
por: Nauman, Muhammad Asif, et al.
Publicado: (2023)

Improving forecasts with integrated business planning: from short-term to long-term demand planning enabled by SAP IBP
por: Sankaran, Ganesh, et al.
Publicado: (2019)

COVID-19 Pandemic Development in Jordan—Short-Term and Long-Term Forecasting
por: Hussein, Tareq, et al.
Publicado: (2021)

The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
por: Abulibdeh, Ammar, et al.
Publicado: (2022)

An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
por: Kumar, Gourav, et al.
Publicado: (2022)

Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
por: Moon, Jihoon, et al.
Publicado: (2022)

Forecasting Short-Term Electricity Load with Combinations of Singular Spectrum Analysis
por: Zhang, Xiaobo
Publicado: (2022)

Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems
por: Fährmann, Daniel, et al.
Publicado: (2022)

A Temporal Window Attention-Based Window-Dependent Long Short-Term Memory Network for Multivariate Time Series Prediction
por: Han, Shuang, et al.
Publicado: (2022)

iEnhancer-EBLSTM: Identifying Enhancers and Strengths by Ensembles of Bidirectional Long Short-Term Memory
por: Niu, Kun, et al.
Publicado: (2021)

Intelligent lead-based bidirectional long short term memory for COVID-19 sentiment analysis
por: Kumari, Santoshi, et al.
Publicado: (2022)

Relation extraction in Chinese using attention-based bidirectional long short-term memory networks
por: Zhang, Yanzi
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_d2de5055v3f48eece130t07o2o