A Data Augmentation-Based Household Profile Identification Approach Under Semi-supervised and Federated Learning Framework
Author:
Affiliation:
1. North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003
2. State Grid Hebei Electric Power Co., Ltd,Marketing Service Center,Shijiazhuang,China,050022
Funder
State Grid Corporation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406302/10407105/10407367.pdf?arnumber=10407367
Reference25 articles.
1. Precision and Accuracy Co-Optimization-Based Demand Response Baseline Load Estimation Using Bidirectional Data
2. An effective profile expansion technique based on movie genres and user demographic information to improve movie recommendation systems
3. Household profile identification for behavioral demand response: A semi-supervised learning approach using smart meter data
4. Smart meter-related data privacy concerns and dynamic electricity tariffs: Evidence from a stated choice experiment
5. Order Charging Strategy based on Optimal TOU Demand Response
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