Integrated Architecture for Smart Grid Energy Management: Deep Attention-Enhanced Sequence-to-Sequence Model with Energy-Aware Optimized Reinforcement Learning for Demand Response
- 4 November 2024
- journal article
- research article
- Published by Springer Nature in SN Computer Science
- Vol. 5 (8) , 1-14
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Scheduling Home Appliances with Integration of Hybrid Energy Sources using Intelligent AlgorithmsAin Shams Engineering Journal, 2022
- Energy disaggregation using variational autoencodersEnergy and Buildings, 2022
- Deep reinforcement learning for home energy management system controlEnergy and AI, 2021
- Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfortElectric Power Systems Research, 2020
- Home energy management system (HEMS): concept, architecture, infrastructure, challenges and energy management schemesEnergy Systems, 2019
- An electrical load measurements dataset of United Kingdom households from a two-year longitudinal studyScientific Data, 2017
- Review of Smart Home Energy Management SystemsEnergy Procedia, 2016
- Smart home energy management systems: Concept, configurations, and scheduling strategiesRenewable and Sustainable Energy Reviews, 2016
- Home energy management systems: A review of modelling and complexityRenewable and Sustainable Energy Reviews, 2015
- The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homesScientific Data, 2015