A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid

IEEE Transactions on Smart Grid

Volumn 7, Issue 3, 2016, Pages 1552-1561

  Ali, Sardar ^a   Wu, Kui ^a   Weston, Kyle ^a   Marinakis, Dimitri ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Bayesian networks (BNs); conditional entropy (CE); Monte Carlo (MC) simulations; power quality (PQ) monitoring

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; ELECTRIC NETWORK ANALYSIS; LEARNING SYSTEMS; MATERIALS HANDLING EQUIPMENT; POWER QUALITY; SMART POWER GRIDS; UNCERTAINTY ANALYSIS;

BAYESIAN NETWORK MODELS; EVALUATION RESULTS; MACHINE LEARNING APPROACHES; MEASUREMENT DEVICE; NETWORK MONITORING; QUALITY ESTIMATION; SIMULATED NETWORKS; TRANSITION FUNCTIONS;

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 84937010992     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2015.2442837     Document Type: Article

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