{"id":"https://openalex.org/W2954847471","doi":"https://doi.org/10.1109/icnsc.2019.8743312","title":"Hierarchically Non-continuous Regression Prediction for Short-Term Photovoltaic Power Output","display_name":"Hierarchically Non-continuous Regression Prediction for Short-Term Photovoltaic Power Output","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2954847471","doi":"https://doi.org/10.1109/icnsc.2019.8743312","mag":"2954847471"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2019.8743312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2019.8743312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC)","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/A5043674003","display_name":"Siya Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"SiYa Yao","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112468939","display_name":"Le Pan","orcid":"https://orcid.org/0009-0008-7997-1227"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Pan","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045593376","display_name":"Zibo Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ZiBo Yu","raw_affiliation_strings":["No. 2 Middle School of Yantai, Yantai, Shandong, 264000, China","No. 2 Middle School of Yantai, Yantai, Shandong, China"],"affiliations":[{"raw_affiliation_string":"No. 2 Middle School of Yantai, Yantai, Shandong, 264000, China","institution_ids":[]},{"raw_affiliation_string":"No. 2 Middle School of Yantai, Yantai, Shandong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006206015","display_name":"Qi Kang","orcid":"https://orcid.org/0000-0001-7128-6913"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Kang","raw_affiliation_strings":["Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA","Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043674003"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7454381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"118","issue":null,"first_page":"379","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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":1.0,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9993000030517578,"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":0.9988999962806702,"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/photovoltaic-system","display_name":"Photovoltaic system","score":0.7858387231826782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6103770136833191},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6063632369041443},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6051951050758362},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5989063382148743},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5409868359565735},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5183685421943665},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5098180174827576},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.48421144485473633},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4332497715950012},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.429696261882782},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.4135048985481262},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.41049617528915405},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4079482853412628},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25669151544570923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2512857913970947},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22472751140594482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1752423346042633}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7858387231826782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103770136833191},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6063632369041443},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6051951050758362},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5989063382148743},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5409868359565735},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5183685421943665},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5098180174827576},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.48421144485473633},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4332497715950012},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.429696261882782},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.4135048985481262},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.41049617528915405},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4079482853412628},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25669151544570923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2512857913970947},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22472751140594482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1752423346042633},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2019.8743312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2019.8743312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W858921981","https://openalex.org/W1120922828","https://openalex.org/W2001863701","https://openalex.org/W2031939255","https://openalex.org/W2284910918","https://openalex.org/W2295598076","https://openalex.org/W2343702657","https://openalex.org/W2346662913","https://openalex.org/W2413384677","https://openalex.org/W2519051700","https://openalex.org/W2558903719","https://openalex.org/W2569349941","https://openalex.org/W2587549331","https://openalex.org/W2621841909","https://openalex.org/W2735814390","https://openalex.org/W2767559196","https://openalex.org/W2773629498","https://openalex.org/W2801596954","https://openalex.org/W2807966350","https://openalex.org/W2811070040","https://openalex.org/W2811469663","https://openalex.org/W2963578771","https://openalex.org/W3102476541","https://openalex.org/W6745555854"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W31220157","https://openalex.org/W3215700490","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W2312753042","https://openalex.org/W4289356671"],"abstract_inverted_index":{"Photovoltaic":[0],"(PV)":[1],"power":[2,29,37,57],"generation":[3],"utilizing":[4],"clean":[5],"solar":[6],"energy":[7,13],"is":[8,30,73],"increasingly":[9],"conducive":[10],"to":[11,36,61,75,112],"relieving":[12],"crisis":[14],"and":[15,22,40,54,67,146],"environmental":[16],"pollution.":[17],"Affected":[18],"by":[19],"the":[20,62,85,127,136,141],"fluctuation":[21,68],"uncertainty":[23],"of":[24,65],"meteorological":[25],"factors,":[26],"short-term":[27,156],"PV":[28,44,70,95,99,157],"volatile":[31],"in":[32,51,69,88],"nature,":[33],"posing":[34],"threats":[35],"supply":[38],"reliability":[39],"stability.":[41],"Consequently,":[42],"accurate":[43],"production":[45],"forecasting":[46,144],"plays":[47],"a":[48,56,94,121],"vital":[49],"role":[50],"steadily":[52],"running":[53],"managing":[55],"system.":[58],"However,":[59],"due":[60],"intrinsic":[63],"characteristics":[64],"variability":[66],"data,":[71],"it":[72,109],"challenging":[74],"get":[76],"acceptable":[77],"output":[78,158],"prediction":[79,123,138],"via":[80],"conventional":[81],"regression":[82,90,129],"methods.":[83],"Moreover,":[84],"raw":[86],"data":[87],"our":[89],"task":[91],"originates":[92],"from":[93],"plant":[96],"whose":[97],"stored":[98],"values":[100],"are":[101],"hierarchically":[102,154],"non-continuous":[103,155],"with":[104],"conspicuously":[105],"diverse":[106],"classes,":[107],"making":[108],"even":[110],"harder":[111],"conduct":[113],"precise":[114],"prediction.":[115,159],"In":[116],"this":[117],"paper,":[118],"we":[119],"propose":[120],"tree-based":[122],"model":[124,139],"based":[125],"on":[126],"XGBoost":[128],"algorithm.":[130],"The":[131],"experimental":[132],"results":[133],"show":[134],"that":[135],"proposed":[137],"achieves":[140],"highest":[142],"average":[143],"accuracy":[145],"stable":[147],"generalization":[148],"performance,":[149],"indicating":[150],"its":[151],"validity":[152],"for":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}