Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
- 26 June 2024
- journal article
- research article
- Published by Springer Nature in Archives of Computational Methods in Engineering
- Vol. 32 (2) , 663-692
Abstract
No abstract availableKeywords
This publication has 122 references indexed in Scilit:
- Short-Term Electrical Load Forecasting Based on Time Augmented TransformerInternational Journal of Computational Intelligence Systems, 2022
- Deep learning forecasting for electric demand applications of cooling systems in buildingsAdvanced Engineering Informatics, 2022
- Intraday time series load forecasting using Bayesian deep learning method—a new approachElectrical Engineering, 2021
- A combined deep learning application for short term load forecastingAlexandria Engineering Journal, 2021
- IoT-Based Household Energy Consumption Prediction Using Machine Learning2021
- iGridEdgeDrone: Hybrid Mobility Aware Intelligent Load Forecasting by Edge Enabled Internet of Drone Things for Smart Grid NetworksInternational Journal of Parallel Programming, 2020
- Energy load forecasting model based on deep neural networks for smart gridsInternational Journal of System Assurance Engineering and Management, 2019
- A Modified Fuzzy Logic Relation-Based Approach for Electricity Consumption Forecasting in IndiaInternational Journal of Fuzzy Systems, 2019
- Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniquesApplied Energy, 2019
- A multiple time series-based recurrent neural network for short-term load forecastingSoft Computing, 2017