Research on flexible load classification model for demand response
Author:
Affiliation:
1. State Grid Fujian Electric Power Co., Ltd.,Fuzhou,China,350003
2. Tsinghua Sichuan Energy Internet Research Institute Tianfu Jingrong Center,Science City, Chengdu,China,610213
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165685/10164836/10166922.pdf?arnumber=10166922
Reference22 articles.
1. Shape-Based Approach to Household Electric Load Curve Clustering and Prediction;teeraratkul;IEEE Transactions on Smart Grid,2017
2. Clustering Load Profiles for Demand Response Applications;lin;IEEE Transactions on Smart Grid,2017
3. Difference analysis and registration research of a pair of complementary cylindrical panoramic images
4. Multi-Resolution Load Profile Clustering for Smart Metering Data
5. Data Pretreatment Method of Fuzzy C-Means Clustering Effects;liqing;Electric Power Science and Engineering,2011
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