Domestic water and natural gas demand forecasting by using heterogeneous data: A preliminary study

Smart Innovation, Systems and Technologies

Volumn 37, Issue , 2015, Pages 185-194

  Fagiani, Marco ^a   Squartini, Stefano ^a   Gabrielli, Leonardo ^a   Spinsante, Susanna ^a   Piazza, Francesco ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

Computational intelligence; Domestic consumption forecasting; Genetic programming; Heterogeneous data

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXTENDED KALMAN FILTERS; FORECASTING; GASES; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INPUT OUTPUT PROGRAMS; NATURAL GAS;

ADDITIONAL EXPERIMENTS; DOMESTIC CONSUMPTION; HETEROGENEOUS DATA; HOUSEHOLD SCENARIOS; NATURAL GAS DEMAND; PREDICTION PERFORMANCE; STATE-OF-THE-ART APPROACH; U.S. ENERGY INFORMATION ADMINISTRATIONS;

TREES (MATHEMATICS);

EID: 84930940605     PISSN: 21903018     EISSN: 21903026     Source Type: Book Series    
DOI: 10.1007/978-3-319-18164-6_18     Document Type: Article

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