VMD-GRU Based Non-Intrusive Load Monitoring For Home Energy Management System
Authors:
- Ismael JrhilifaIJIsmael Jrhilifa
- Hamid OuadiHOHamid Ouadi
- Abdelilah JilbabAJAbdelilah Jilbab
- Saad GheouanySGSaad Gheouany
- Nada MounirNMNada Mounir
- Saida El BakaliSBSaida El Bakali
- 15 August 2024
- journal article
- Published by Elsevier in IFAC-PapersOnLine
- Vol. 58 (13) , 176-181
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Forecasting smart home electricity consumption using VMD-Bi-GRUEnergy Efficiency, 2024
- Efficient real-time cost optimization of a two-layer electric water heater system under model uncertaintiesEnergy Conversion and Management, 2024
- Experimental validation of multi-stage optimal energy management for a smart microgrid system under forecasting uncertaintiesEnergy Conversion and Management, 2023
- Short-Term Electric Load Forecasting Model Based on SVR Technique2023
- Short-term electric load forecasting using an EMD-BI-LSTM approach for smart grid energy management systemEnergy and Buildings, 2023
- Transfer learning for multi-objective non-intrusive load monitoring in smart buildingApplied Energy, 2022
- Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecastingApplied Energy, 2022
- Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic reviewElectric Power Systems Research, 2022
- Residential electricity conservation in response to auto-generated, multi-featured, personalized eco-feedback designed for large scale applications with utilitiesEnergy and Buildings, 2021
- Non-intrusive load disaggregation based on composite deep long short-term memory networkExpert Systems with Applications, 2020