{"_id":"fqad5BRQTNyLsJssH","bibbaseid":"yeo-yee-aproposalforasitelocationplanningmodelofenvironmentallyfriendlyurbanenergysupplyplantsusinganenvironmentandenergygeographicalinformationsystemegisdatabasedbandanartificialneuralnetworkann-2014","downloads":0,"creationDate":"2019-03-26T20:20:00.816Z","title":"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)","author_short":["Yeo, I.","Yee, J."],"year":2014,"bibtype":"article","biburl":"https://raw.githubusercontent.com/affernan/affernan.github.io/refs/heads/main/els-refs.bib","bibdata":{"bibtype":"article","type":"article","title":"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)","journal":"Applied Energy","volume":"119","pages":"99-117","year":"2014","author":[{"firstnames":["In-Ae"],"propositions":[],"lastnames":["Yeo"],"suffixes":[]},{"firstnames":["Jurng-Jae"],"propositions":[],"lastnames":["Yee"],"suffixes":[]}],"bibtex":"@article{YEO201499,\ntitle = {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})},\njournal = {Applied Energy},\nvolume = {119},\npages = {99-117},\nyear = {2014},\nauthor = {In-Ae Yeo and Jurng-Jae Yee}\n}\n\n","author_short":["Yeo, I.","Yee, J."],"key":"YEO201499","id":"YEO201499","bibbaseid":"yeo-yee-aproposalforasitelocationplanningmodelofenvironmentallyfriendlyurbanenergysupplyplantsusinganenvironmentandenergygeographicalinformationsystemegisdatabasedbandanartificialneuralnetworkann-2014","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["proposal","site","location","planning","model","environmentally","friendly","urban","energy","supply","plants","using","environment","energy","geographical","information","system","gis","database","artificial","neural","network","ann","yeo","yee"],"keywords":[],"authorIDs":[],"dataSources":["CGS6dhzhbmw7oQjzC"]}