Funder
Small Project
University of Sydney
UNSW Digital Grid Futures Institute
University of New South Wales
Australian Research Council's Research Hub for Integrated Energy Storage Solutions
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Cited by
32 articles.
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1. User-centric recommendations on energy-efficient appliances in smart grids: A Multi-task learning approach;Knowledge-Based Systems;2024-01
2. Demand Response Supported Energy Management Framework for Residential Users;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17
3. Graph Deep-Learning-Based Retail Dynamic Pricing for Demand Response;IEEE Transactions on Smart Grid;2023-11
4. Appliance-Incremental Learning for Non-Intrusive Load Monitoring;2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);2023-10-31
5. Energy Consumption Profiling Of Appliances Inside Smart Buildings Based On k-means Clustering;2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2023-09-04