{"id":"https://openalex.org/W3129167096","doi":"https://doi.org/10.1109/ias44978.2020.9334923","title":"Convolutional Auto-encoder Based Sky Image Prediction Model for Minutely Solar PV Power Forecasting","display_name":"Convolutional Auto-encoder Based Sky Image Prediction Model for Minutely Solar PV Power Forecasting","publication_year":2020,"publication_date":"2020-10-10","ids":{"openalex":"https://openalex.org/W3129167096","doi":"https://doi.org/10.1109/ias44978.2020.9334923","mag":"3129167096"},"language":"en","primary_location":{"id":"doi:10.1109/ias44978.2020.9334923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias44978.2020.9334923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Industry Applications Society Annual Meeting","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/A5101684380","display_name":"Hua Chai","orcid":"https://orcid.org/0000-0001-8354-3948"},"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":"Hua Chai","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/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":false,"raw_author_name":"Fei Wang","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/A5084130452","display_name":"Payman Dehghanian","orcid":"https://orcid.org/0000-0003-2237-4284"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Payman Dehghanian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Washington University, Washington DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Washington University, Washington DC, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"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/I79765343","display_name":"University of Vaasa","ror":"https://ror.org/03769b225","country_code":"FI","type":"education","lineage":["https://openalex.org/I79765343"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miadreza Shafie-khah","raw_affiliation_strings":["School of Technology and Innovations University of Vaasa, Vaasa, Finland"],"affiliations":[{"raw_affiliation_string":"School of Technology and Innovations University of Vaasa, Vaasa, Finland","institution_ids":["https://openalex.org/I79765343"]}]},{"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/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"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":["Faculty of Engineering of the University of Porto and INESC TEC, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering of the University of Porto and INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101684380"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74206514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"56","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9995999932289124,"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":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.6722350120544434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6665194630622864},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6378577351570129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692400932312012},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5401050448417664},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.5144894123077393},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45877325534820557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4448928236961365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38713696599006653},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33421796560287476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14953669905662537},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.13036808371543884},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06950578093528748}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6722350120544434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665194630622864},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6378577351570129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692400932312012},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5401050448417664},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.5144894123077393},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45877325534820557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4448928236961365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38713696599006653},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33421796560287476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14953669905662537},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.13036808371543884},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06950578093528748},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias44978.2020.9334923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias44978.2020.9334923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Industry Applications Society Annual Meeting","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7699999809265137,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1836465849","https://openalex.org/W2012508283","https://openalex.org/W2094195048","https://openalex.org/W2133665775","https://openalex.org/W2147526029","https://openalex.org/W2304648132","https://openalex.org/W2343259376","https://openalex.org/W2586480386","https://openalex.org/W2594044533","https://openalex.org/W2765131790","https://openalex.org/W2773689905","https://openalex.org/W2777155931","https://openalex.org/W2797889343","https://openalex.org/W2806443828","https://openalex.org/W2807818015","https://openalex.org/W2891999340","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2952250445","https://openalex.org/W2962949934","https://openalex.org/W2963125871","https://openalex.org/W2963190991","https://openalex.org/W2964121744","https://openalex.org/W2964598435","https://openalex.org/W2964717139","https://openalex.org/W2967537049","https://openalex.org/W2973966280","https://openalex.org/W2990572506","https://openalex.org/W2999862096","https://openalex.org/W3007599907","https://openalex.org/W3007976404","https://openalex.org/W3011353627","https://openalex.org/W3011386070","https://openalex.org/W3014900786","https://openalex.org/W3015024348","https://openalex.org/W3016208458","https://openalex.org/W3025845633","https://openalex.org/W3026041860","https://openalex.org/W3038037083","https://openalex.org/W4241485379","https://openalex.org/W4297772798","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6691096134","https://openalex.org/W6697974390","https://openalex.org/W6755259929","https://openalex.org/W6770576186","https://openalex.org/W6777907705"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W2220129715","https://openalex.org/W4296478327","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W1960072520","https://openalex.org/W2023776155","https://openalex.org/W2387596242","https://openalex.org/W2333625343"],"abstract_inverted_index":{"The":[0,98],"precise":[1],"minute":[2],"time":[3],"scale":[4],"forecasting":[5],"of":[6,24,43,62,72],"an":[7],"individual":[8],"Photovoltaic":[9],"power":[10],"station":[11],"output":[12],"relies":[13],"on":[14],"accurate":[15],"sky":[16,33,49],"image":[17,27,50,82],"prediction.":[18],"To":[19,68],"avoid":[20],"the":[21,57,70,73,95,102,106],"two":[22,76],"deficiencies":[23],"traditional":[25],"digital":[26],"processing":[28],"technology":[29],"(DIPT)":[30],"in":[31],"predicting":[32],"images:":[34],"relatively":[35],"limited":[36],"input":[37],"spatiotemporal":[38,58],"information":[39],"and":[40,64,85],"linear":[41],"extrapolation":[42],"images,":[44],"convolutional":[45,66],"auto-encoder":[46],"(CAE)":[47],"based":[48],"prediction":[51],"models":[52,104,108],"are":[53,91],"proposed":[54,74,103],"according":[55],"to":[56,93],"feature":[59],"extraction":[60],"ability":[61],"2D":[63],"3D":[65],"layers.":[67],"verify":[69],"effectiveness":[71],"models,":[75],"typical":[77],"DIPT":[78],"methods,":[79],"including":[80],"particle":[81],"velocimetry":[83],"(PIV)":[84],"Fourier":[86],"phase":[87],"correlation":[88],"theory":[89],"(FPCT)":[90],"introduced":[92],"build":[94],"benchmark":[96,107],"models.":[97],"results":[99],"show":[100],"that":[101],"outperform":[105],"under":[109],"different":[110],"scenarios.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
