{"id":"https://openalex.org/W4312884609","doi":"https://doi.org/10.1109/access.2022.3215080","title":"Probabilistic LSTM-Autoencoder Based Hour-Ahead Solar Power Forecasting Model for Intra-Day Electricity Market Participation: A Polish Case Study","display_name":"Probabilistic LSTM-Autoencoder Based Hour-Ahead Solar Power Forecasting Model for Intra-Day Electricity Market Participation: A Polish Case Study","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312884609","doi":"https://doi.org/10.1109/access.2022.3215080"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3215080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09921296.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09921296.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014341940","display_name":"Vishnu Suresh","orcid":"https://orcid.org/0000-0003-2891-9206"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Vishnu Suresh","raw_affiliation_strings":["Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-2891-9206","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020024311","display_name":"Fachrizal Aksan","orcid":"https://orcid.org/0000-0001-6357-2637"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Fachrizal Aksan","raw_affiliation_strings":["Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6357-2637","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090956737","display_name":"Przemys\u0142aw Janik","orcid":"https://orcid.org/0000-0001-5300-7845"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Przemyslaw Janik","raw_affiliation_strings":["Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-5300-7845","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051989924","display_name":"Tomasz Sikorski","orcid":"https://orcid.org/0000-0002-4423-7216"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Sikorski","raw_affiliation_strings":["Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-4423-7216","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088992613","display_name":"B. Sri Revathi","orcid":"https://orcid.org/0000-0001-5608-5574"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Sri Revathi","raw_affiliation_strings":["School of Electrical Engineering, Vellore Institute of Technology, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0001-5608-5574","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Vellore Institute of Technology, Chennai, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014341940"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.8884,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.9429858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"110628","last_page":"110638"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9997000098228455,"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":0.994700014591217,"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/autoencoder","display_name":"Autoencoder","score":0.8064307570457458},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7518236637115479},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.708397388458252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6020458340644836},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.4938105046749115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43034255504608154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3627774119377136},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32583409547805786},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1683204174041748},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10923716425895691},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10880810022354126},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07643085718154907}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8064307570457458},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7518236637115479},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.708397388458252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6020458340644836},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.4938105046749115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43034255504608154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3627774119377136},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32583409547805786},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1683204174041748},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10923716425895691},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10880810022354126},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07643085718154907}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3215080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09921296.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed6d204cfee84dd692ce9a0f0722579d","is_oa":true,"landing_page_url":"https://doaj.org/article/ed6d204cfee84dd692ce9a0f0722579d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 110628-110638 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3215080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09921296.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3822641077","display_name":null,"funder_award_id":"SMARTGRIDSPLUS/4/5/MESH4U/2021","funder_id":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju"}],"funders":[{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312884609.pdf","grobid_xml":"https://content.openalex.org/works/W4312884609.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2040750108","https://openalex.org/W2617137613","https://openalex.org/W2751698537","https://openalex.org/W2760948241","https://openalex.org/W2792326773","https://openalex.org/W2792921542","https://openalex.org/W2803160193","https://openalex.org/W2803663262","https://openalex.org/W2889356375","https://openalex.org/W2917491574","https://openalex.org/W3005489965","https://openalex.org/W3009377873","https://openalex.org/W3093496580","https://openalex.org/W3094815858","https://openalex.org/W3110147505","https://openalex.org/W3126094341","https://openalex.org/W3134592248","https://openalex.org/W3144899757","https://openalex.org/W3210818346","https://openalex.org/W3215350008","https://openalex.org/W4200565213","https://openalex.org/W4220686278","https://openalex.org/W4220877827"],"related_works":["https://openalex.org/W2909436466","https://openalex.org/W2769304616","https://openalex.org/W2561944894","https://openalex.org/W3188413760","https://openalex.org/W2963188571","https://openalex.org/W2008291043","https://openalex.org/W2373467473","https://openalex.org/W2791458617","https://openalex.org/W3121565704","https://openalex.org/W4319323736"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"the":[3,54,66,71,84,87,91,96,101,108,112,128,135,153,164,168,177,180,186,191,196,214,224,229],"selection":[4],"of":[5,53,100,118,152,172,184,202,213],"an":[6],"appropriate":[7],"deep":[8],"learning":[9],"Long":[10],"Short-Term":[11],"Memory":[12],"(LSTM)":[13],"based":[14],"probabilistic":[15],"hour-ahead":[16],"forecasting":[17],"model":[18,60,94,110,137,189,194],"for":[19,48,134,167,175,222],"a":[20,33,43,59],"grid":[21],"connected":[22,41],"industrial":[23],"solar":[24],"PV":[25],"power":[26,37,155],"plant":[27,45,67],"located":[28],"in":[29,70,116],"Poland.":[30],"It":[31],"has":[32,163],"317":[34],"kW":[35,143,146,204,207],"peak":[36,154,215],"capacity":[38],"and":[39,95,127,144,150,179,199,205,211,226,234],"is":[40,56],"with":[42,195],"metallurgical":[44],"producing":[46],"steel":[47],"car":[49],"parts.":[50],"The":[51,120,217],"purpose":[52],"study":[55],"to":[57,68],"present":[58],"that":[61,107,161],"could":[62],"be":[63],"used":[64],"by":[65],"participate":[69],"Polish":[72],"intra-day":[73],"electricity":[74],"market.":[75],"Four":[76],"different":[77],"LSTM":[78,89,93,192],"models":[79,103],"were":[80,141,232],"investigated":[81,102],"which":[82,147,208],"include":[83],"vanilla":[85],"model,":[86,90],"stacked":[88],"Bi-directional":[92],"LSTM-Autoencoder":[97,109],"model.":[98],"Out":[99],"it":[104,158,162],"was":[105,111,159,190],"observed":[106,160],"best":[113,187],"performing":[114,188],"one":[115],"terms":[117,183],"reliability.":[119],"average":[121,129,197],"Root":[122],"Mean":[123,130],"Squared":[124],"Error":[125,132],"(RMSE)":[126],"Absolute":[131],"(MAE)":[133],"Autoencoder":[136],"over":[138,228],"100":[139,230],"runs":[140,231],"15.59":[142],"8.36":[145],"represent":[148,209],"4.9%":[149],"2.6%":[151],"respectively.":[156,236],"Moreover,":[157],"shortest":[165],"width":[166,221],"95%":[169,218],"confidence":[170,219],"interval":[171],"only":[173],"0.5%":[174,235],"both":[176,223],"RMSE":[178,198,225],"MAE.":[181],"In":[182],"accuracy":[185],"bi-directional":[193],"MAE":[200,227],"values":[201],"12.87":[203],"6.91":[206],"4%":[210],"2.1%":[212],"power.":[216],"intervals":[220],"0.8%":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
