{"id":"https://openalex.org/W4411670537","doi":"https://doi.org/10.1145/3728985.3728994","title":"Regional Solar Power Potential Prediction Based on AI in Response to Climate Change","display_name":"Regional Solar Power Potential Prediction Based on AI in Response to Climate Change","publication_year":2024,"publication_date":"2024-11-15","ids":{"openalex":"https://openalex.org/W4411670537","doi":"https://doi.org/10.1145/3728985.3728994"},"language":"en","primary_location":{"id":"doi:10.1145/3728985.3728994","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728985.3728994","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3728985.3728994","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038492057","display_name":"Changyong Jung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ChangYong Jung","raw_affiliation_strings":["Caramella Inc., Research Institue, Gwangju, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0009-0280-9966","affiliations":[{"raw_affiliation_string":"Caramella Inc., Research Institue, Gwangju, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dogyun Kim","orcid":"https://orcid.org/0009-0004-3623-4236"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dogyun Kim","raw_affiliation_strings":["Dept. Artificial Intelligence Convergence, Chonnam National University, Gwangju, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-3623-4236","affiliations":[{"raw_affiliation_string":"Dept. Artificial Intelligence Convergence, Chonnam National University, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060632736","display_name":"Seungbum Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungbum Ha","raw_affiliation_strings":["Dept. of Computer Engineering, Chonnam National University, Gwangju, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-5914-1325","affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Chonnam National University, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sungjin Park","orcid":"https://orcid.org/0000-0002-6078-3882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungjin Park","raw_affiliation_strings":["Research Institue, LoginSeogwang, Gwangju, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6078-3882","affiliations":[{"raw_affiliation_string":"Research Institue, LoginSeogwang, Gwangju, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028440511","display_name":"Jongman Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongman Kim","raw_affiliation_strings":["Dept. of Electricity and New&amp;Renewable Energy, Jeonnam State University, Damyang, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0005-2986-3787","affiliations":[{"raw_affiliation_string":"Dept. of Electricity and New&amp;Renewable Energy, Jeonnam State University, Damyang, Republic of Korea","institution_ids":["https://openalex.org/I55240360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9936000108718872,"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":0.9936000108718872,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9793999791145325,"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"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9067000150680542,"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/climate-change","display_name":"Climate change","score":0.5528954863548279},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.49419620633125305},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45763376355171204},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.4235174059867859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41036856174468994},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.40786442160606384},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.340181827545166},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16352632641792297},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.125639408826828}],"concepts":[{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.5528954863548279},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.49419620633125305},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45763376355171204},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.4235174059867859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41036856174468994},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.40786442160606384},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.340181827545166},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16352632641792297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.125639408826828},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728985.3728994","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728985.3728994","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728985.3728994","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728985.3728994","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G7641456635","display_name":null,"funder_award_id":"2021RIS-002","funder_id":"https://openalex.org/F4320321198","funder_display_name":"Chonnam National University"}],"funders":[{"id":"https://openalex.org/F4320321198","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3091557683","https://openalex.org/W3186977440","https://openalex.org/W4361220724"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3096121261","https://openalex.org/W3190643595","https://openalex.org/W4225788860","https://openalex.org/W4205311831","https://openalex.org/W4376872516","https://openalex.org/W1968810339","https://openalex.org/W1991192109","https://openalex.org/W2895122413"],"abstract_inverted_index":{"This":[0],"study":[1,68],"analyzes":[2],"the":[3,63,93],"impact":[4],"of":[5,46],"climate":[6,59,101],"change":[7,25],"on":[8],"regional":[9],"solar":[10,32,41,76],"power":[11,42,77],"potential":[12,78],"and":[13,35,96],"proposes":[14],"a":[15,70],"method":[16],"for":[17,51],"predicting":[18],"it":[19],"using":[20],"an":[21],"AI":[22],"model.":[23],"Climate":[24],"can":[26],"alter":[27],"key":[28],"factors":[29],"such":[30],"as":[31],"radiation,":[33],"temperature,":[34],"cloud":[36],"lover,":[37],"which":[38],"significantly":[39],"affect":[40],"generation.":[43],"Accurate":[44],"predictions":[45],"these":[47],"changes":[48],"are":[49],"crucial":[50],"formulating":[52],"strategies":[53],"to":[54,74,87,91],"expand":[55],"renewable":[56],"energy.":[57],"Using":[58],"scenario":[60],"data":[61],"from":[62],"Korean":[64],"Meteorological":[65],"Administration,":[66],"this":[67],"builds":[69],"deep":[71],"learning":[72],"model":[73],"analyze":[75],"in":[79,98],"various":[80],"region.":[81],"Future":[82],"research":[83],"will":[84],"extend":[85],"testing":[86],"diverse":[88],"geographical":[89],"areas":[90],"enhance":[92],"model's":[94],"generalizability":[95],"accuracy":[97],"reflecting":[99],"varying":[100],"conditions.":[102]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
