Finite state Markov chain model for wind generation forecast: A data-driven spatiotemporal approach

2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012

Volumn , Issue , 2012, Pages

  Murugesan, Sugumar ^a   Zhang, Junshan ^a   Vittal, Vijay ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-REGRESSION; BULK POWER GRID; CO-LOCATED; EMPIRICAL DATA; FINITE STATE; HUB HEIGHT; MARKOV CHAIN MODELS; MEASUREMENT DATA; MULTIPLE CLASS; NON-STATIONARITIES; OPERATIONS PLANNING; OPTIMIZATION FRAMEWORK; POWER OUT PUT; SEASONALITY; SPATIO-TEMPORAL APPROACH; SPATIOTEMPORAL ANALYSIS; STATISTICAL DISTRIBUTION; SYSTEM LEVELS; SYSTEM RELIABILITY; TEMPORAL DYNAMICS; WIND FARM; WIND GENERATION; WIND GENERATION FORECAST;

ELECTRIC UTILITIES; FARMS; FORECASTING; GRAPH THEORY; HARMONIC ANALYSIS; REGRESSION ANALYSIS; SMART POWER GRIDS; TURBINES; WIND POWER;

AGGREGATES;

EID: 84860864157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISGT.2012.6175764     Document Type: Conference Paper

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