On the accuracy versus transparency trade-off of data-mining models for fast-response PMU-based catastrophe predictors

IEEE Transactions on Smart Grid

Volumn 3, Issue 1, 2012, Pages 152-161

  Kamwa, Innocent ^a   Samantaray, S R ^b   Joós, Geza ^c  

^a HYDRO QUÉBEC   (Canada)

^b INDIAN INSTITUTE OF TECHNOLOGY BHUBANESWAR   (India)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Fuzzy decision tree; fuzzy ID3; neural network; phasor measurement unit (PMU); random forests; smart grid; stability assessment; support vector machine; wide area severity indices (WASI)

Indexed keywords

FUZZY DECISION TREES; FUZZY ID3; PHASOR MEASUREMENT UNIT (PMU); RANDOM FORESTS; SMART GRID; STABILITY ASSESSMENT; SUPPORT VECTOR; WIDE-AREA SEVERITY INDICES;

DATA MINING; DECISION MAKING; DECISION TREES; DISASTERS; ECONOMIC AND SOCIAL EFFECTS; ELECTRIC POWER DISTRIBUTION; FORESTRY; IMAGE RETRIEVAL; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; SYSTEM STABILITY; TRANSPARENCY; UNITS OF MEASUREMENT;

MODELS;

DECISION MAKING; DISASTERS; DISTRIBUTION; ELECTRIC POWER; MODELS; NEURAL NETWORKS;

EID: 84857654563     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2011.2164948     Document Type: Article

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