PSO-LSSVM based load power usage anomaly data identification
Author:
Affiliation:
1. State Grid Energy Research Institute Co., Ltd,Beijing,China,102209
2. State Grid Info-Telecom Great Power Science and Technology Co.,Ltd.,Fuzhou,China,350000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10593799/10594004/10594434.pdf?arnumber=10594434
Reference7 articles.
1. Load identification based on optimized fuzzy C-means state extraction
2. Identification method of abnormal data of electric energy measurement based on BP neural network algorithm
3. Dynamic State Estimation of New Energy Power Systems Considering Multi-Level False Data Identification Based on LSTM-CNN
4. Unsupervised non-technical losses identification through optimum-path forest
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