Breeder hybrid algorithm approach for natural gas demand forecasting model

Energy

Volumn 141, Issue , 2017, Pages 1269-1284

  Karadede, Yusuf ^a,b   Ozdemir, Gultekin ^a   Aydemir, Erdal ^a  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

^b KAFKAS UNIVERSITY   (Turkey)

Author keywords

Breeder genetic algorithm; Breeder hybrid algorithm; Natural gas demand forecasting; Nonlinear forecasting model; Simulated annealing

Indexed keywords

FORECASTING; GASES; GENETIC ALGORITHMS; NATURAL GAS; POPULATION STATISTICS;

BREEDER GENETIC ALGORITHM; BREEDER HYBRID ALGORITHM; DEMAND FORECASTING; FORECASTING MODELS; HYBRID ALGORITHMS; NATURAL GAS DEMAND; NATURAL GAS DEMAND FORECASTING; NON-LINEAR REGRESSION; NONLINEAR FORECASTING; NONLINEAR FORECASTING MODEL;

SIMULATED ANNEALING;

FORECASTING METHOD; GENETIC ALGORITHM; NATURAL GAS; NUMERICAL MODEL; SIMULATED ANNEALING;

TURKEY;

EID: 85032029470     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2017.09.130     Document Type: Article

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