{"id":"https://openalex.org/W4366493346","doi":"https://doi.org/10.1145/3582099.3582112","title":"The Search for Areas with High Solar Energy Based on Clustering Analysis","display_name":"The Search for Areas with High Solar Energy Based on Clustering Analysis","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4366493346","doi":"https://doi.org/10.1145/3582099.3582112"},"language":"en","primary_location":{"id":"doi:10.1145/3582099.3582112","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582099.3582112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002165208","display_name":"Isara Soisom","orcid":"https://orcid.org/0000-0001-8279-4315"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Isara Soisom","raw_affiliation_strings":["Suranaree University of Technology, Thailand"],"affiliations":[{"raw_affiliation_string":"Suranaree University of Technology, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090601259","display_name":"Kittisak Kerdprasop","orcid":"https://orcid.org/0000-0002-0323-908X"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kittisak Kerdprasop","raw_affiliation_strings":["Suranaree University of Technology, Thailand"],"affiliations":[{"raw_affiliation_string":"Suranaree University of Technology, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078033903","display_name":"Nittaya Kerdprasop","orcid":"https://orcid.org/0000-0003-0017-3334"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nittaya Kerdprasop","raw_affiliation_strings":["Suranaree University of Technology, Thailand"],"affiliations":[{"raw_affiliation_string":"Suranaree University of Technology, Thailand","institution_ids":["https://openalex.org/I82475049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002165208"],"corresponding_institution_ids":["https://openalex.org/I82475049"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14622757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7541301846504211},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.6616927981376648},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5412980318069458},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.5039398074150085},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.46702340245246887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3944549262523651},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.372191846370697},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.366161584854126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15119245648384094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09072774648666382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07556399703025818},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07401245832443237}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7541301846504211},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.6616927981376648},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5412980318069458},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.5039398074150085},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.46702340245246887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3944549262523651},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.372191846370697},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.366161584854126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15119245648384094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09072774648666382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07556399703025818},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07401245832443237},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582099.3582112","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582099.3582112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W2090287545","https://openalex.org/W2189625117","https://openalex.org/W2199495299","https://openalex.org/W2749305807","https://openalex.org/W3111552823"],"related_works":["https://openalex.org/W3199607909","https://openalex.org/W3120797817","https://openalex.org/W2505141013","https://openalex.org/W4379207511","https://openalex.org/W2907976155","https://openalex.org/W3090120914","https://openalex.org/W2591588891","https://openalex.org/W3088961008","https://openalex.org/W4281650189","https://openalex.org/W4319159631"],"abstract_inverted_index":{"Thailand":[0,15,32],"is":[1,42,64,74,108,136,166],"a":[2,16,45,82,104],"tropical":[3],"country":[4],"with":[5,124,139],"high":[6,34,55,125,156],"average":[7],"solar":[8,35,56,97,126,142],"power":[9,36],"across":[10],"the":[11,51,59,67,71,78,89,95,111,117,122,129,137,140,146,151,171],"country.":[12],"This":[13,40],"makes":[14],"very":[17],"suitable":[18],"area":[19,52],"for":[20,50],"utilizing":[21],"this":[22,134],"kind":[23],"of":[24,81,113,133,149,163,170],"clean":[25],"energy.":[26],"However,":[27],"not":[28],"all":[29,37],"areas":[30,123,138,158],"in":[31,88],"have":[33],"year":[38],"round.":[39],"research":[41],"thus":[43],"propose":[44],"cluster-based":[46],"method":[47],"to":[48,76,85,120],"search":[49],"that":[53,107],"produces":[54],"energy":[57,98,127,143,157],"throughout":[58,128],"year.":[60,130],"The":[61,131],"proposed":[62],"methodology":[63,135],"based":[65,109],"on":[66,103,110],"clustering":[68,91],"technique":[69],"and":[70],"silhouette":[72],"analysis":[73,152],"used":[75,87],"define":[77],"appropriate":[79],"value":[80],"k":[83],"variable":[84],"be":[86],"k-means":[90],"algorithm.":[92],"We":[93],"divide":[94],"original":[96],"data":[99],"into":[100],"several":[101],"datasets":[102],"monthly":[105],"bases,":[106],"number":[112],"months.":[114],"Then,":[115],"intersect":[116],"grouping":[118],"results":[119],"identify":[121],"output":[132],"highest":[141],"power.":[144],"For":[145],"case":[147],"study":[148],"Thailand,":[150],"result":[153],"can":[154],"reveal":[155],"covering":[159],"29":[160],"provinces":[161],"out":[162],"77,":[164],"which":[165],"approximately":[167],"7.52":[168],"percent":[169],"total":[172],"areas.":[173]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}