A novel inference method for local wind conditions using genetic fuzzy systems

Renewable Energy

Volumn 36, Issue 6, 2011, Pages 1747-1753

  De la Rosa, Juan José González ^a,b   Pérez, Agustín Agüera ^a,b   Palomares Salas, José Carlos ^a,b   Ramiro Leo, José Gabriel ^a,b   Muñoz, Antonio Moreno ^a,c  

^a Research Group PAIDI TIC 168   (Spain)

^b UNIVERSITY OF CÁDIZ   (Spain)

^c UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Fuzzy system; Genetic algorithm (GA); Topography; Wind estimation

Indexed keywords

BEST APPROXIMATIONS; DOWN-SCALING; FREQUENCY DISTRIBUTIONS; GENETIC FUZZY SYSTEMS; GENETIC-FUZZY; INFERENCE METHODS; INITIAL POPULATION; LOCAL TOPOGRAPHY; REAL MEASUREMENTS; TERRAIN SLOPE; WIND CLIMATE; WIND CONDITIONS; WIND DIRECTIONS; WIND ESTIMATION; WIND PARAMETERS;

APPROXIMATION ALGORITHMS; FUZZY INFERENCE; FUZZY SETS; LANDFORMS; OPTIMIZATION; TOPOGRAPHY;

GENETIC ALGORITHMS;

DOWNSCALING; FUZZY MATHEMATICS; GENETIC ALGORITHM; NUMERICAL MODEL; OPTIMIZATION; TERRAIN; TOPOGRAPHY; WIND FIELD; WIND MEASUREMENT;

EID: 78751703702     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2010.12.017     Document Type: Article

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