{"id":"https://openalex.org/W2937847883","doi":"https://doi.org/10.1109/ccis.2018.8691201","title":"Short-Term Photovoltaic Output Forecasting Based on Multivariable Phase Space Reconstruction and Support Vector Regression","display_name":"Short-Term Photovoltaic Output Forecasting Based on Multivariable Phase Space Reconstruction and Support Vector Regression","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2937847883","doi":"https://doi.org/10.1109/ccis.2018.8691201","mag":"2937847883"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5041526624","display_name":"Chunxia Dou","orcid":"https://orcid.org/0000-0002-8714-655X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunxia Dou","raw_affiliation_strings":["Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010768839","display_name":"Zhongwei Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Bian","raw_affiliation_strings":["College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059876679","display_name":"Tengfei Zhang","orcid":"https://orcid.org/0000-0003-2746-2099"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210165591","display_name":"Network Group (Czechia)","ror":"https://ror.org/055hmgs82","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210165591"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Tengfei Zhang","raw_affiliation_strings":["Jiangsu Engineering Lab. of Big Data Analysis & Control for Active Distribution Network, Nanjing 210023, China","College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Engineering Lab. of Big Data Analysis & Control for Active Distribution Network, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210165591"]},{"raw_affiliation_string":"College of Automation & College of Artifical Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041526624"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62412098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"983","last_page":"987"},"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.8112435340881348},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6669968366622925},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6111292839050293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5260693430900574},{"id":"https://openalex.org/keywords/multivariable-calculus","display_name":"Multivariable calculus","score":0.4850005805492401},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.47236233949661255},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4638211131095886},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4259936809539795},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.4187256991863251},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4160865247249603},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34330883622169495},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3311850130558014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29043635725975037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24328500032424927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23940390348434448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1770903468132019},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09361580014228821},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.08753710985183716}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.8112435340881348},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6669968366622925},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6111292839050293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5260693430900574},{"id":"https://openalex.org/C117312493","wikidata":"https://www.wikidata.org/wiki/Q2035437","display_name":"Multivariable calculus","level":2,"score":0.4850005805492401},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.47236233949661255},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4638211131095886},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4259936809539795},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.4187256991863251},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4160865247249603},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34330883622169495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3311850130558014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29043635725975037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24328500032424927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23940390348434448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1770903468132019},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09361580014228821},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.08753710985183716},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1988989532","https://openalex.org/W1996430838","https://openalex.org/W1998220081","https://openalex.org/W2020835139","https://openalex.org/W2071884028","https://openalex.org/W2338842023","https://openalex.org/W2402626049","https://openalex.org/W2413384677","https://openalex.org/W2607274700","https://openalex.org/W2734883782"],"related_works":["https://openalex.org/W1969424709","https://openalex.org/W1585017814","https://openalex.org/W2964203303","https://openalex.org/W2963957027","https://openalex.org/W2990812744","https://openalex.org/W4390189512","https://openalex.org/W2738707872","https://openalex.org/W4298042558","https://openalex.org/W2127404166","https://openalex.org/W3033316551"],"abstract_inverted_index":{"A":[0],"comprehensive":[1],"forecasting":[2,71,117,144],"method":[3,107,118],"of":[4,19,58,69,79,93,97,105,130,140],"the":[5,16,22,31,38,49,55,59,67,70,75,80,86,91,94,101,115,122,127,138,141],"short-term":[6,17],"photovoltaic":[7,81,98,131],"output":[8,18,82,132,143],"is":[9,43,83,145],"presented":[10],"in":[11,110,126],"this":[12,106,111],"paper":[13],"to":[14,45],"forecast":[15,46],"two":[20],"types:":[21],"days":[23,32],"with":[24,33,114],"weak":[25],"weather":[26,35],"fluctuates":[27],"(sunny":[28],"days)":[29],"and":[30,47,53,62,103,137],"strong":[34],"fluctuations.":[36],"Firstly,":[37],"support":[39],"vector":[40],"regression":[41],"(SVR)":[42],"used":[44,65],"track":[48],"reconstructed":[50],"irradiated":[51],"intensity":[52,61],"temperature,":[54],"forecasted":[56],"data":[57,96,129],"radiation":[60],"temperature":[63],"are":[64,108],"as":[66],"input":[68],"model.":[72],"At":[73],"last,":[74],"high":[76],"nonlinear":[77],"fitting":[78],"realized":[84],"by":[85],"SVR":[87,120],"model":[88],"also.":[89],"Through":[90],"analysis":[92],"actual":[95],"power":[99],"plants,":[100],"rationality":[102],"effectiveness":[104],"verified":[109],"paper.":[112],"Compared":[113],"traditional":[116],"using":[119],"only,":[121],"useful":[123],"information":[124],"contained":[125],"historical":[128],"can":[133],"be":[134],"further":[135],"explored":[136],"accuracy":[139],"PV":[142],"also":[146],"improved.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}