Customized Pricing Strategy for Households Based on Occupancy-Aided Load Disaggregation
Author:
Affiliation:
1. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia
2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China
Funder
Australian Research Council Research Hub
ARC Training Centre
ARC linkage Project
Shenzhen Institute of Artificial Intelligence and Robotics for Society
National Natural Science Foundation of China
Key Programs
Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9794458/10153503/10089164.pdf?arnumber=10089164
Reference33 articles.
1. Application of load monitoring in appliances’ energy management – A review
2. Unsupervised Domain Adaptation for Nonintrusive Load Monitoring Via Adversarial and Joint Adaptation Network
3. Non-Intrusive Load Monitoring Using Additive Factorial Approximate Maximum a Posteriori Based on Iterative Fuzzy $c$ -Means
4. Individual Load Monitoring of Appliances for Home Energy Management System
5. Data-driven modeling of solar-powered urban microgrids
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