{"id":"https://openalex.org/W4404295083","doi":"https://doi.org/10.1109/icsp62122.2024.10743588","title":"Photovoltaic Power Generation Prediction Based on Machine Learning Model Fusion","display_name":"Photovoltaic Power Generation Prediction Based on Machine Learning Model Fusion","publication_year":2024,"publication_date":"2024-04-19","ids":{"openalex":"https://openalex.org/W4404295083","doi":"https://doi.org/10.1109/icsp62122.2024.10743588"},"language":"en","primary_location":{"id":"doi:10.1109/icsp62122.2024.10743588","doi":"https://doi.org/10.1109/icsp62122.2024.10743588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsp62122.2024.10743588","pdf_url":null,"source":{"id":"https://openalex.org/S4363607782","display_name":"International Conference on Intelligent Computing and Signal Processing (ICSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5029756095","display_name":"Haifeng Dong","orcid":"https://orcid.org/0000-0002-9821-1572","observed_orcids":["https://orcid.org/0000-0002-9821-1572"]},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Dong","raw_affiliation_strings":["Xi'an Shiyou University,Computer Science Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Shiyou University,Computer Science Department,Xi'an,China","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074617858","display_name":"Yujie Yang","orcid":"https://orcid.org/0009-0008-7069-2766","observed_orcids":["https://orcid.org/0009-0008-7069-2766"]},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Yang","raw_affiliation_strings":["Xi'an Shiyou University,Computer Science Department,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Shiyou University,Computer Science Department,Xi'an,China","institution_ids":["https://openalex.org/I181903023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181903023"],"apc_list":null,"apc_paid":null,"fwci":1.729,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76351552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1144","last_page":"1149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9990000128746033,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.0008999999845400453,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":9.999999747378752e-05,"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/solar-power-forecasting","display_name":"photovoltaic power forecasting","score":0.953000009059906},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.6179999709129333},{"id":"https://openalex.org/keywords/model-fusion","display_name":"model fusion","score":0.9210000038146973},{"id":"https://openalex.org/keywords/adaptive-weight-fusion","display_name":"adaptive weight fusion","score":0.7540000081062317},{"id":"https://openalex.org/keywords/lightgbm","display_name":"LightGBM","score":0.8830000162124634},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":1.0},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.996999979019165},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.9169999957084656},{"id":"https://openalex.org/keywords/k-fold-cross-validation","display_name":"k-fold cross-validation","score":0.7269999980926514},{"id":"https://openalex.org/keywords/grid-stability","display_name":"grid stability","score":0.5820000171661377}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7938008308410645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502070426940918},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5880694389343262},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5050576329231262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4073159098625183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37312424182891846},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17519107460975647},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17280671000480652},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsp62122.2024.10743588","doi":"https://doi.org/10.1109/icsp62122.2024.10743588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsp62122.2024.10743588","pdf_url":null,"source":{"id":"https://openalex.org/S4363607782","display_name":"International Conference on Intelligent Computing and Signal Processing (ICSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9853000044822693},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.651199996471405},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5351999998092651}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W3107111486","https://openalex.org/W3118910683","https://openalex.org/W3135220640","https://openalex.org/W3196147304","https://openalex.org/W4283381024","https://openalex.org/W4310038873","https://openalex.org/W4318200329","https://openalex.org/W4319320165","https://openalex.org/W4319791845","https://openalex.org/W4385344289","https://openalex.org/W4385602800"],"related_works":["https://openalex.org/W3096021165","https://openalex.org/W4307890357","https://openalex.org/W4318213427","https://openalex.org/W4312522399","https://openalex.org/W4402402411","https://openalex.org/W4412938105","https://openalex.org/W4399750453","https://openalex.org/W4360995567","https://openalex.org/W4396528478","https://openalex.org/W4388727503"],"abstract_inverted_index":{"In":[0,71,89],"this":[1,131],"paper,":[2],"a":[3,38],"feature":[4,171],"fusion":[5,133,172],"method":[6,134],"based":[7],"on":[8,77],"three":[9,120],"algorithm":[10],"models":[11,98,121],"(LightGBM,":[12],"XGBoost":[13],"and":[14,96,102,139,143,178],"LSTM)":[15],"is":[16,51,82,115],"proposed":[17],"for":[18,156],"the":[19,26,32,43,54,58,64,69,75,78,86,90,93,103,109,119,137,147,157,165,170],"prediction":[20,39,110,168,176],"of":[21,28,57,68,111,141,160],"photovoltaic":[22,29,44,112,148,182],"power":[23,30,45,49,113,149,161,183],"generation.":[24,46],"Under":[25],"principle":[27],"generation,":[31,150],"parameters":[33],"are":[34,99,106],"monitored":[35],"to":[36,41,62,73,84],"establish":[37],"model":[40,173],"predict":[42,146],"The":[47,126],"actual":[48],"generation":[50,114,184],"compared":[52,163],"with":[53,122,164],"predicted":[55],"results":[56,128],"model,":[59,79,169],"so":[60],"as":[61],"verify":[63],"practical":[65],"application":[66],"value":[67],"model.":[70],"order":[72],"reduce":[74],"impact":[76],"K-fold":[80],"cross-validation":[81],"used":[83],"divide":[85],"data":[87,154],"separately.":[88],"training":[91],"process,":[92],"XGBoost,":[94],"LightGBM":[95],"LSTM":[97],"established":[100],"respectively,":[101],"corresponding":[104],"features":[105],"extracted.":[107],"Finally,":[108],"realized":[116],"by":[117],"mixing":[118],"adaptive":[123],"weight":[124],"method.":[125],"experimental":[127],"show":[129],"that":[130],"weighted":[132],"can":[135,144],"improve":[136],"accuracy":[138,177],"stability":[140],"prediction,":[142],"accurately":[145],"which":[151],"provides":[152],"key":[153],"support":[155],"stable":[158],"operation":[159],"grid,":[162],"traditional":[166],"single":[167],"has":[174],"higher":[175],"generalization":[179],"ability":[180],"in":[181],"prediction.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-11-13T00:00:00"}