A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN)

Applied Energy

Volumn 119, Issue , 2014, Pages 99-117

  Yeo, In Ae ^a   Yee, Jurng Jae ^a  

^a Dong A University   (South Korea)

Author keywords

Artificial neural network (ANN); Energy potential map; Energy supply planning; Environment and energy geographic information system (E GIS); Low carbon green city; Urban planning support system (PSS)

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLIMATE MODELS; ELECTRIC POWER GENERATION; HOUSING; HYDRAULIC MOTORS; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; INFORMATION USE; LOCATION; NANOCRYSTALLINE MATERIALS; NEURAL NETWORKS; SOLAR ENERGY; TOPOGRAPHY; URBAN GROWTH; WIND; WIND POWER; WIND TURBINES;

ENERGY SUPPLIES; ENVIRONMENT AND ENERGIES; HORIZONTAL AXIS WIND TURBINES; LAND COVER CLASSIFICATION; LOW-CARBON GREENS; PLANNING SUPPORT SYSTEMS; SCALED CONJUGATE GRADIENTS; VERTICAL AXIS WIND TURBINES;

GEOGRAPHIC INFORMATION SYSTEMS;

ARTIFICIAL NEURAL NETWORK; DATABASE; ENERGY PLANNING; ENERGY RESOURCE; GIS; LOCATION-ALLOCATION MODEL; PLANNING PROCESS; RENEWABLE RESOURCE; TOPOGRAPHY; URBAN AREA; WIND VELOCITY;

SOUTH KOREA;

EID: 84893017061     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2013.12.060     Document Type: Article

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