{"id":"https://openalex.org/W2808391714","doi":"https://doi.org/10.1109/icaci.2018.8377603","title":"Short-time photovoltaic power prediction considering relative influential factor based on typical weather conditions","display_name":"Short-time photovoltaic power prediction considering relative influential factor based on typical weather conditions","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2808391714","doi":"https://doi.org/10.1109/icaci.2018.8377603","mag":"2808391714"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2018.8377603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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/A5035468012","display_name":"Yaoqi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaoqi Chen","raw_affiliation_strings":["College of Energy and Electrical Engineering, HoHai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Energy and Electrical Engineering, HoHai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100915037","display_name":"Linjun Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Shi","raw_affiliation_strings":["College of Energy and Electrical Engineering, HoHai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Energy and Electrical Engineering, HoHai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042738733","display_name":"Keman Lin","orcid":"https://orcid.org/0000-0002-6749-7205"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keman Lin","raw_affiliation_strings":["College of Energy and Electrical Engineering, HoHai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Energy and Electrical Engineering, HoHai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041206997","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3011-9902"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["College of Energy and Electrical Engineering, HoHai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Energy and Electrical Engineering, HoHai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053820819","display_name":"Weiguo He","orcid":"https://orcid.org/0000-0003-2637-2702"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo He","raw_affiliation_strings":["State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Nanjing, China","institution_ids":["https://openalex.org/I4392738113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367586","display_name":"Chun Wang","orcid":"https://orcid.org/0000-0002-9366-3668"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Nanjing, China","institution_ids":["https://openalex.org/I4392738113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035468012"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07068146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"181","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9858999848365784,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/photovoltaic-system","display_name":"Photovoltaic system","score":0.6904255747795105},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.590325117111206},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.5893844962120056},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5559099316596985},{"id":"https://openalex.org/keywords/relative-value","display_name":"Relative value","score":0.5263020992279053},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.487016499042511},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.47395753860473633},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45584386587142944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44971004128456116},{"id":"https://openalex.org/keywords/efficiency","display_name":"Efficiency","score":0.41791465878486633},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41687849164009094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3964361846446991},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3957572877407074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24068361520767212},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18004554510116577},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.11789864301681519},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11531078815460205}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6904255747795105},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.590325117111206},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.5893844962120056},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5559099316596985},{"id":"https://openalex.org/C201236551","wikidata":"https://www.wikidata.org/wiki/Q7310809","display_name":"Relative value","level":2,"score":0.5263020992279053},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.487016499042511},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.47395753860473633},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45584386587142944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44971004128456116},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.41791465878486633},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41687849164009094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3964361846446991},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3957572877407074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24068361520767212},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18004554510116577},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.11789864301681519},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11531078815460205},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2018.8377603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1987187314","https://openalex.org/W2085491701","https://openalex.org/W2118020555","https://openalex.org/W2348215484","https://openalex.org/W2359908678","https://openalex.org/W2370244626","https://openalex.org/W2371658238","https://openalex.org/W2383171358","https://openalex.org/W2384889461","https://openalex.org/W2386205611","https://openalex.org/W7005926607","https://openalex.org/W7023829765","https://openalex.org/W7047927394"],"related_works":["https://openalex.org/W1520426761","https://openalex.org/W2383313533","https://openalex.org/W2061097035","https://openalex.org/W1977428919","https://openalex.org/W4298446740","https://openalex.org/W2726162513","https://openalex.org/W2963928453","https://openalex.org/W2356534347","https://openalex.org/W2061456865","https://openalex.org/W3123272346"],"abstract_inverted_index":{"Photovoltaic":[0],"(PV)":[1],"power":[2,17,34],"output":[3],"is":[4,37,70,81,94],"directly":[5],"related":[6],"to":[7,60,114],"the":[8,12,26,42,47,54,61,68,74,85,90,99,104,109,116,125,130],"weather":[9,30,65],"conditions":[10,66],"and":[11,21,46,67,89,108,127],"prediction":[13,118],"accuracy":[14],"of":[15,28,41,63,77,98,129],"PV":[16,33],"decreases":[18],"for":[19,96],"cloudy":[20],"rainy":[22],"weathers.":[23],"Based":[24],"on":[25],"categories":[27],"typical":[29,64],"conditions,":[31],"a":[32],"forecast":[35],"model":[36,76],"proposed":[38],"with":[39],"consideration":[40],"predictive":[43,78,100,105],"relative":[44,48,79,101,106],"tolerance":[45,80,107],"influential":[49],"factor":[50],"(RIF).":[51],"At":[52],"first,":[53],"climate":[55],"data":[56],"are":[57,112],"categorized":[58],"according":[59],"definition":[62],"RIF":[69],"put":[71],"forward;":[72],"Then":[73],"probabilistic":[75],"established":[82],"by":[83],"using":[84],"t":[86],"Location-Scale":[87],"distribution":[88],"Latin":[91],"hypercube":[92],"technique":[93],"used":[95],"sampling":[97],"tolerance;":[102],"Finally,":[103],"predicted":[110],"value":[111],"superimposed":[113],"obtain":[115],"final":[117],"results.":[119],"A":[120],"case":[121],"study":[122],"has":[123],"proved":[124],"feasibility":[126],"effectiveness":[128],"model.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}