{"id":"https://openalex.org/W4414728640","doi":"https://doi.org/10.1007/978-3-032-02728-3_39","title":"Improved Post-processing Model for Photovoltaic Power Forecasting Based on Clustering","display_name":"Improved Post-processing Model for Photovoltaic Power Forecasting Based on Clustering","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4414728640","doi":"https://doi.org/10.1007/978-3-032-02728-3_39"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-02728-3_39","doi":"https://doi.org/10.1007/978-3-032-02728-3_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-02728-3_39","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4414645981","display_name":"Advances in Computational Intelligence"},"type":"conference-paper","is_traditional":true,"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/A5103037151","display_name":"Angellina Ebenezer Anitha","orcid":"https://orcid.org/0009-0007-7531-2729","observed_orcids":["https://orcid.org/0009-0007-7531-2729"]},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Angellina Ebenezer Anitha","raw_affiliation_strings":["Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany","institution_ids":["https://openalex.org/I203082224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093818486","display_name":"Katrin Handel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katrin Handel","raw_affiliation_strings":["Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany","institution_ids":["https://openalex.org/I203082224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018950908","display_name":"Katrin Schulte","orcid":"https://orcid.org/0000-0002-9400-6731","observed_orcids":["https://orcid.org/0000-0002-9400-6731"]},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katrin Schulte","raw_affiliation_strings":["Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany","institution_ids":["https://openalex.org/I203082224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056101975","display_name":"Jens Haubrock","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Haubrock","raw_affiliation_strings":["Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Technical Energy Systems, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany","institution_ids":["https://openalex.org/I203082224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103037151"],"corresponding_institution_ids":["https://openalex.org/I203082224"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9976000189781189,"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":0.0019000000320374966,"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":9.999999747378752e-05,"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/solar-power-forecasting","display_name":"photovoltaic power forecasting","score":0.9990000128746033},{"id":"https://openalex.org/keywords/forecast-post-processing","display_name":"forecast post-processing","score":0.8700000047683716},{"id":"https://openalex.org/keywords/forecasting-error-reduction","display_name":"forecast error reduction","score":0.7250000238418579},{"id":"https://openalex.org/keywords/weather-uncertainty","display_name":"weather uncertainty","score":0.6990000009536743},{"id":"https://openalex.org/keywords/seasonal-effects","display_name":"seasonal effects","score":0.4970000088214874},{"id":"https://openalex.org/keywords/shading-effects","display_name":"shading effects","score":0.9359999895095825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.5249999761581421}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.8799999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372999787330627},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6601999998092651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.544700026512146},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5206000208854675},{"id":"https://openalex.org/C174303752","wikidata":"https://www.wikidata.org/wiki/Q3624438","display_name":"Forecast error","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4180000126361847},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.39070001244544983},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3402000069618225},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3222000002861023},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C40293303","wikidata":"https://www.wikidata.org/wiki/Q27137","display_name":"Electric power","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.26489999890327454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-02728-3_39","doi":"https://doi.org/10.1007/978-3-032-02728-3_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-02728-3_39","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.878000020980835,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.5351999998092651,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2028903792","https://openalex.org/W2740924709","https://openalex.org/W3015280312","https://openalex.org/W3048804154","https://openalex.org/W3133849585","https://openalex.org/W3214647213","https://openalex.org/W4240592325","https://openalex.org/W4306366861","https://openalex.org/W4312470714","https://openalex.org/W4391342909","https://openalex.org/W4400367606","https://openalex.org/W4414956485"],"related_works":["https://openalex.org/W7116776780","https://openalex.org/W4405785750","https://openalex.org/W7161476369","https://openalex.org/W7162303854","https://openalex.org/W7147425136","https://openalex.org/W7163208736","https://openalex.org/W4408275444","https://openalex.org/W4417358339","https://openalex.org/W7214604444","https://openalex.org/W4375863191"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-10T00:00:00"}
