Knowledge-Based Systematic Feature Extraction for Identifying Households With Plug-in Electric Vehicles
Author:
Affiliation:
1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
2. College of Computer and Information Science, Chongqing Normal University, Chongqing, China
Funder
National Natural Science Foundation of China
Changsha Key Research and Development Program
Natural Science Foundation of Hunan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/9761268/09693902.pdf?arnumber=9693902
Reference30 articles.
1. Remote Appliance Load Monitoring and Identification in a Modern Residential System With Smart Meter Data
2. Time–Frequency Feature Combination Based Household Characteristic Identification Approach Using Smart Meter Data
3. Convolutional Autoencoder Based Feature Extraction and Clustering for Customer Load Analysis
4. A Knowledge-Based Framework for Power Flow and Optimal Power Flow Analyses
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