{"id":"https://openalex.org/W2902016091","doi":"https://doi.org/10.1109/ias.2018.8544468","title":"Pattern Classification and PSO Optimal Weights Based Sky Images Cloud Motion Speed Calculation Method for Solar PV Power Forecasting","display_name":"Pattern Classification and PSO Optimal Weights Based Sky Images Cloud Motion Speed Calculation Method for Solar PV Power Forecasting","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902016091","doi":"https://doi.org/10.1109/ias.2018.8544468","mag":"2902016091"},"language":"en","primary_location":{"id":"doi:10.1109/ias.2018.8544468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias.2018.8544468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industry Applications Society Annual Meeting (IAS)","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/A5100455868","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-7332-9726"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Hebei Key Laboratory of Distributed Energy Storage and Micro-grid, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Distributed Energy Storage and Micro-grid, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061110904","display_name":"Shuaijie Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaijie Pang","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665356","display_name":"Zhao Zhen","orcid":"https://orcid.org/0000-0001-5406-6441"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhen","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021855763","display_name":"Kangping Li","orcid":"https://orcid.org/0000-0002-9046-7127"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangping Li","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015484149","display_name":"Hui Ren","orcid":"https://orcid.org/0000-0001-9205-0168"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ren","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088560163","display_name":"Miadreza Shafie\u2010khah","orcid":"https://orcid.org/0000-0003-1691-5355"},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Miadreza Shafie-Khah","raw_affiliation_strings":["C-MAST, University of Beira Interior, Covilh\u00e3, Portugal"],"affiliations":[{"raw_affiliation_string":"C-MAST, University of Beira Interior, Covilh\u00e3, Portugal","institution_ids":["https://openalex.org/I161321875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065382518","display_name":"Jo\u00e3o P. S. Catal\u00e0o","orcid":"https://orcid.org/0000-0002-2105-3051"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao P. S. Catalao","raw_affiliation_strings":["INESC TEC, FEUP, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"INESC TEC, FEUP, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100455868"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7749426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9980999827384949,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6410013437271118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5759763121604919},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5649232864379883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5283200144767761},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4996762275695801},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4918403625488281},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4457013010978699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34411942958831787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236842155456543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2172669768333435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410013437271118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5759763121604919},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5649232864379883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5283200144767761},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4996762275695801},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4918403625488281},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4457013010978699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34411942958831787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236842155456543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2172669768333435},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias.2018.8544468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias.2018.8544468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industry Applications Society Annual Meeting (IAS)","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":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1614810685","https://openalex.org/W1965492037","https://openalex.org/W1978041909","https://openalex.org/W1997997079","https://openalex.org/W2015346914","https://openalex.org/W2025092081","https://openalex.org/W2041754533","https://openalex.org/W2047028119","https://openalex.org/W2052368399","https://openalex.org/W2071884028","https://openalex.org/W2074457964","https://openalex.org/W2083397465","https://openalex.org/W2126130784","https://openalex.org/W2131747574","https://openalex.org/W2135965469","https://openalex.org/W2402682637","https://openalex.org/W2514661424","https://openalex.org/W2520557368","https://openalex.org/W2552158921","https://openalex.org/W2566496077","https://openalex.org/W2589489991","https://openalex.org/W2605945285","https://openalex.org/W2606631653","https://openalex.org/W2738423166","https://openalex.org/W2751023760","https://openalex.org/W2768225014","https://openalex.org/W2771369270","https://openalex.org/W2776400462","https://openalex.org/W2777155931","https://openalex.org/W6678659937"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897","https://openalex.org/W2070395303"],"abstract_inverted_index":{"The":[0,67,153,223,242],"motion":[1,31,138,221],"of":[2,14,22,29,62,69,102,156,204,244,262,275],"cloud":[3,30,63,137,209,220,280],"over":[4,279],"photovoltaic":[5],"(PV)":[6],"power":[7,145],"station":[8],"will":[9,106],"directly":[10],"cause":[11],"the":[12,20,27,60,70,77,80,92,100,103,176,197,201,213,245,260,266,273,276],"change":[13],"solar":[15,143],"irradiance,":[16],"which":[17,73],"indirectly":[18],"affects":[19],"prediction":[21],"minute-level":[23],"PV":[24,144],"power,":[25],"so":[26],"tracking":[28],"is":[32,74,83,86,96,148,228],"very":[33],"crucial.":[34],"In":[35],"this":[36,151],"study,":[37],"Block-matching":[38,57],"algorithm,":[39],"Optical":[40],"Flow":[41],"algorithm":[42,46,227],"and":[43,130,165,200],"feature":[44,104],"matching":[45,105],"are":[47,247],"three":[48],"prevailing":[49],"methods.":[50],"However,":[51],"as":[52],"a":[53,123,127],"rigid":[54],"registration":[55],"method,":[56],"cannot":[58],"obtain":[59,219],"parameters":[61],"deformation":[64],"or":[65],"rotation.":[66],"accuracy":[68,101],"optical":[71],"flow,":[72],"based":[75,134,168],"on":[76,169],"assumption":[78],"that":[79],"image":[81,93,183,188],"grayscale":[82],"not":[84,97],"changed,":[85],"easily":[87],"disturbed":[88],"by":[89],"noise.":[90],"When":[91],"texture":[94,166,179],"information":[95],"rich":[98],"enough,":[99],"also":[107],"be":[108,120],"reduced.":[109],"That":[110],"is,":[111],"in":[112,150],"order":[113],"to":[114,174,218,230,234,237,239],"improve":[115],"their":[116],"robustness,":[117],"they":[118],"must":[119],"combined":[121,215],"through":[122],"certain":[124],"strategy.":[125],"Therefore,":[126],"pattern":[128],"classification":[129],"PSO":[131],"optimal":[132],"weights":[133,233],"sky":[135],"images":[136],"speed":[139],"calculation":[140,216],"method":[141,154,164,246],"for":[142,207],"forecasting":[146],"(PCPOW)":[147],"proposed":[149,277],"paper.":[152],"consists":[155],"two":[157],"parts.":[158],"Firstly,":[159],"we":[160,211],"use":[161],"k-means":[162],"clustering":[163],"features":[167],"Gray-Level":[170],"Co-occurrence":[171],"Matrix":[172],"(GLCM)":[173],"classify":[175],"clouds.":[177,241],"Because":[178],"can":[180,191],"adequately":[181],"reflect":[182],"information,":[184],"compared":[185],"with":[186,268],"other":[187],"features,":[189],"it":[190],"better":[192],"take":[193],"into":[194],"account":[195],"both":[196],"macro":[198],"nature":[199],"fine":[202],"structure":[203],"images.":[205],"Secondly,":[206],"different":[208,232,235,240],"classes,":[210],"build":[212],"corresponding":[214],"modeling":[217],"speed.":[222],"Particle":[224],"Swarm":[225],"Optimization":[226],"used":[229],"give":[231],"methods":[236,271],"adapt":[238],"performances":[243],"investigated":[248],"using":[249],"real":[250],"data":[251],"recorded":[252],"at":[253],"Yunnan":[254],"Electric":[255],"Power":[256],"Research":[257],"Institute.":[258],"Under":[259],"measurement":[261],"common":[263],"precision":[264],"index,":[265],"comparisons":[267],"various":[269],"benchmark":[270],"show":[272],"effectiveness":[274],"approaches":[278],"tracing.":[281]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
