A genetic algorithm and neural network technique for predicting wind power under uncertainty

Chemical Engineering Transactions

Volumn 33, Issue , 2013, Pages 925-930

  Ak, Ronay ^a,b   Li, Yan Fu ^a,b   Vitelli, Valeria ^a,b   Zio, Enrico ^a,b,c  

^a EDF R AND D   (France)

^b SUPELEC   (France)

^c POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GENETIC ALGORITHMS; WIND; WIND POWER;

COVERAGE PROBABILITIES; MULTI-OBJECTIVE GENETIC ALGORITHM; NEURAL NETWORK (NN); NEURAL NETWORK TECHNIQUES; NON DOMINATED SORTING GENETIC ALGORITHM II (NSGA II); OPERATING CHARACTERISTICS; POWER SYSTEM OPERATIONS; PREDICTION INTERVAL;

WIND EFFECTS;

EID: 84883818953     PISSN: 22839216     EISSN: 22839216     Source Type: Journal    
DOI: 10.3303/CET1333155     Document Type: Conference Paper

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