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Identification Method and Subsidy Demand Calculation of Non..:

, In: 2023 International Conference on Power, Communication, Computing and Networking Technologies,

Luo, Ling ; Zhao, Sanshan ; Wu, Dan... - p. 1-10 , 2023

Link: https://dl.acm.org/doi/10.1145/3630138.3630455

RT 
T1 <cTitle>2023 International Conference on Power, Communication, Computing and Networking Technologies</cTitle>: T1 <Title>Identification Method and Subsidy Demand Calculation of Nonintrusive Load Regulation Capacity Based on Clustering and Comprehensive Correlation Analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3630455&Exemplar=1&LAN=DE
				
A1 Luo, Ling
A1 Zhao, Sanshan
A1 Wu, Dan
A1 Liu, Lian
A1 Huang, Xingde
A1 Jia, Dexiang
A1 Fu, Chengcheng
PB ACM
YR 2023
K1 Comprehensive Correlation Analysis
K1 DBSCAN Clustering
K1 Hybrid Nonintrusive Load Identification
K1 Load Regulation Capacity
K1 PCA feature Dimension Reduction
K1 Subsidy Demand
K1 Computing methodologies
K1 Applied computing
K1 Information systems
K1 Information systems applications
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Cluster analysis
SP 1
OP 10
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630138.3630455
DO https://dl.acm.org/doi/10.1145/3630138.3630455
SF ELIB - SuUB Bremen

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