{"id":"https://openalex.org/W4390402152","doi":"https://doi.org/10.1109/isgtasia54891.2023.10372715","title":"Evaluation of PV Output Prediction Errors Due to Snow Coverage on Unit Commitment Using a Time-Varying Mean Reversion Model","display_name":"Evaluation of PV Output Prediction Errors Due to Snow Coverage on Unit Commitment Using a Time-Varying Mean Reversion Model","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4390402152","doi":"https://doi.org/10.1109/isgtasia54891.2023.10372715"},"language":"en","primary_location":{"id":"doi:10.1109/isgtasia54891.2023.10372715","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isgtasia54891.2023.10372715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)","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/A5114113786","display_name":"Takuto Komuro","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuto Komuro","raw_affiliation_strings":["Tokyo University of Science,Department of Electrical Engineering,Tokyo,Japan","Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Department of Electrical Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043215334","display_name":"Nobuyuki Yamaguchi","orcid":"https://orcid.org/0000-0002-2349-271X"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuyuki Yamaguchi","raw_affiliation_strings":["Tokyo University of Science,Department of Electrical Engineering,Tokyo,Japan","Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Department of Electrical Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075054250","display_name":"Yusuke Manabe","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Manabe","raw_affiliation_strings":["Tokyo University of Science,Department of Electrical Engineering,Tokyo,Japan","Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Department of Electrical Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035700483","display_name":"Hideaki Ohtake","orcid":"https://orcid.org/0000-0002-3061-0382"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hideaki Ohtake","raw_affiliation_strings":["Fukushima Renewable Energy Institute AIST,Koriyama,Japan","Fukushima Renewable Energy Institute AIST, Koriyama, Japan"],"affiliations":[{"raw_affiliation_string":"Fukushima Renewable Energy Institute AIST,Koriyama,Japan","institution_ids":[]},{"raw_affiliation_string":"Fukushima Renewable Energy Institute AIST, Koriyama, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114113786"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5921774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998999834060669,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-reversion","display_name":"Mean reversion","score":0.8846495747566223},{"id":"https://openalex.org/keywords/reversion","display_name":"Reversion","score":0.7864351272583008},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.7171434164047241},{"id":"https://openalex.org/keywords/power-system-simulation","display_name":"Power system simulation","score":0.4897921085357666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43383294343948364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38216713070869446},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.37942442297935486},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3524795174598694},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.34864383935928345},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3294907510280609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19326525926589966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16058999300003052},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06941646337509155}],"concepts":[{"id":"https://openalex.org/C135205223","wikidata":"https://www.wikidata.org/wiki/Q367137","display_name":"Mean reversion","level":2,"score":0.8846495747566223},{"id":"https://openalex.org/C70883133","wikidata":"https://www.wikidata.org/wiki/Q7318316","display_name":"Reversion","level":4,"score":0.7864351272583008},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.7171434164047241},{"id":"https://openalex.org/C116219307","wikidata":"https://www.wikidata.org/wiki/Q7236625","display_name":"Power system simulation","level":4,"score":0.4897921085357666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43383294343948364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38216713070869446},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.37942442297935486},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3524795174598694},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.34864383935928345},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3294907510280609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19326525926589966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16058999300003052},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06941646337509155},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgtasia54891.2023.10372715","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isgtasia54891.2023.10372715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2280091373","https://openalex.org/W2469734051","https://openalex.org/W2768651524","https://openalex.org/W2793868903"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2033210022","https://openalex.org/W2093399047","https://openalex.org/W2385182213","https://openalex.org/W2071006786","https://openalex.org/W2075853330","https://openalex.org/W2065755627","https://openalex.org/W4299533470","https://openalex.org/W2384316872","https://openalex.org/W2944143400"],"abstract_inverted_index":{"In":[0,89],"order":[1],"to":[2,36,59,67,81,105,174],"realize":[3],"a":[4,26,54,61,120,142,161,165],"carbon-neutral":[5],"society,":[6],"the":[7,38,44,50,71,77,86,92,95,98,109,127,130,139,158],"large-scale":[8],"introduction":[9],"of":[10,40,46,94,100,129,132,138,168],"renewable":[11],"energy":[12],"power":[13,17,72,134,170],"generation":[14,102,171],"into":[15],"electric":[16],"systems":[18],"is":[19,29,34,112,141,172],"underway.":[20],"Predicting":[21],"photovoltaic":[22],"(PV)":[23],"output":[24,65,99,131],"in":[25,63,97,118,146,157],"snowy":[27,162],"area":[28,163],"extremely":[30],"difficult":[31],"because":[32],"it":[33,56],"necessary":[35],"consider":[37],"amount":[39,45,167],"solar":[41],"radiation":[42],"and":[43,70],"snow":[47,68,106],"accumulated":[48],"on":[49,108],"PV":[51,64,101],"panels.":[52],"As":[53],"result,":[55],"may":[57,79],"fail":[58],"predict":[60],"decrease":[62,96],"due":[66,104],"coverage,":[69],"plant":[73],"operation":[74],"schedule":[75],"for":[76],"intra-day":[78],"have":[80],"be":[82,175],"changed":[83],"significantly":[84],"from":[85],"day-ahead":[87],"schedule.":[88],"this":[90],"study,":[91],"impact":[93],"panels":[103],"cover":[107],"supply":[110],"cost":[111],"evaluated":[113,155],"by":[114],"Monte":[115],"Carlo":[116],"simulation,":[117],"which":[119],"time-varying":[121],"mean":[122],"regression":[123],"process":[124],"model":[125],"represents":[126],"uncertainty":[128],"wind":[133,169],"generation.":[135],"The":[136,151],"target":[137],"evaluation":[140],"typical":[143],"winter":[144],"day":[145],"Japan\u2019s":[147],"nine-tied":[148],"control":[149],"area.":[150],"calculation":[152],"results":[153],"are":[154],"mainly":[156],"Tohoku":[159],"area,":[160],"where":[164],"large":[166],"expected":[173],"introduced.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
