Comparison and Validation of Statistical Methods for Predicting Power Outage Durations in the Event of Hurricanes

Risk Analysis

Volumn 31, Issue 12, 2011, Pages 1897-1906

  Nateghi, Roshanak ^a   Guikema, Seth D ^a   Quiring, Steven M ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Data mining; Power system restoration; Survival analysis

Indexed keywords

ACCURATE PREDICTION; ADDITIVE REGRESSION; COX PROPORTIONAL HAZARD MODEL; DATA MINING TECHNIQUES; FAILURE TIME; HARDENING POWER; MODELING POWER; OUTAGE TIME; POWER OUTAGE; POWER SYSTEM RESTORATION; PREDICTION ACCURACY; PREDICTIVE ACCURACY; PUBLIC AGENCIES; REASONABLE ACCURACY; REGRESSION MODEL; REGRESSION TREES; RISK-MANAGEMENT RESOURCES; STATISTICAL MODELS; SURVIVAL ANALYSIS; UTILITY COMPANIES;

CRITICAL INFRASTRUCTURES; DATA MINING; FORECASTING; FORESTRY; HURRICANES; POWER TRANSMISSION; REGRESSION ANALYSIS; RESTORATION; RISK MANAGEMENT; RISK PERCEPTION; TREES (MATHEMATICS);

OUTAGES;

COLLECTIVE ACTION; COMPARATIVE STUDY; DATA MINING; ELECTRICITY INDUSTRY; ELECTRICITY SUPPLY; HURRICANE EVENT; MODEL VALIDATION; NUMERICAL MODEL; PLANNING PRACTICE; PREDICTION; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL ANALYSIS; SURVIVAL; TEMPORAL PERIOD;

ARTICLE; COMPARATIVE STUDY; ELECTRICITY; HURRICANE; POWER SUPPLY; THEORETICAL MODEL; VALIDATION STUDY;

CYCLONIC STORMS; ELECTRIC POWER SUPPLIES; ELECTRICITY; MODELS, THEORETICAL;

ELECTRICITY; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL ANALYSIS;

EID: 81855185615     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2011.01618.x     Document Type: Article

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