{"id":"https://openalex.org/W3195934774","doi":"https://doi.org/10.1109/access.2021.3103126","title":"Regression and Generalized Additive Model to Enhance the Performance of Photovoltaic Power Ensemble Predictors","display_name":"Regression and Generalized Additive Model to Enhance the Performance of Photovoltaic Power Ensemble Predictors","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3195934774","doi":"https://doi.org/10.1109/access.2021.3103126","mag":"3195934774"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3103126","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3103126","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09508435.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/ielx7/6287639/6514899/09508435.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027825106","display_name":"Aditya Sundararajan","orcid":"https://orcid.org/0000-0003-3577-8544"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aditya Sundararajan","raw_affiliation_strings":["Oak Ridge National Laboratory, Grid Components and Controls Group, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Grid Components and Controls Group, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089851664","display_name":"Ben Ollis","orcid":"https://orcid.org/0000-0001-9016-4268"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Ollis","raw_affiliation_strings":["Oak Ridge National Laboratory, Grid Components and Controls Group, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Grid Components and Controls Group, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027825106"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3371,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88789329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"111899","last_page":"111914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998000264167786,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9976000189781189,"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/overfitting","display_name":"Overfitting","score":0.8633328676223755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5848733186721802},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5779662728309631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.572113573551178},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5508766174316406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5458498597145081},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.511254072189331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4989922046661377},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4894491732120514},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.48460114002227783},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.44345542788505554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32359570264816284},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3003602623939514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2516994774341583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15732449293136597},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1183009147644043}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8633328676223755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5848733186721802},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5779662728309631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.572113573551178},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5508766174316406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5458498597145081},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.511254072189331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4989922046661377},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4894491732120514},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.48460114002227783},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.44345542788505554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32359570264816284},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3003602623939514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2516994774341583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15732449293136597},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1183009147644043},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2021.3103126","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3103126","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09508435.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:dd43fa342a2747afbc461e0d42e6c82c","is_oa":true,"landing_page_url":"https://doaj.org/article/dd43fa342a2747afbc461e0d42e6c82c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 9, Pp 111899-111914 (2021)","raw_type":"article"},{"id":"pmh:oai:osti.gov:1814283","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1814283","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1828470","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1828470","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1828471","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1828471","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1109/access.2021.3103126","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3103126","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09508435.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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1645119126","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1719536385","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2042897603","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320316892","funder_display_name":"UT-Battelle"},{"id":"https://openalex.org/G2296932962","display_name":null,"funder_award_id":"DE-AC05-00OR227","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3299391273","display_name":null,"funder_award_id":"E-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G362975299","display_name":null,"funder_award_id":"DE-AC05-00OR22725.","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G5261452142","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320333916","funder_display_name":"Office of Electricity"},{"id":"https://openalex.org/G5726405315","display_name":null,"funder_award_id":"DE-AC05","funder_id":"https://openalex.org/F4320306250","funder_display_name":"Battelle"},{"id":"https://openalex.org/G6129992089","display_name":null,"funder_award_id":"DE-AC05-","funder_id":"https://openalex.org/F4320316892","funder_display_name":"UT-Battelle"},{"id":"https://openalex.org/G6864165199","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320306250","funder_display_name":"Battelle"},{"id":"https://openalex.org/G691578896","display_name":null,"funder_award_id":"DE-AC05-00OR2272","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7340972926","display_name":null,"funder_award_id":"other","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7995982022","display_name":null,"funder_award_id":"DE-AC05","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8414908677","display_name":null,"funder_award_id":"DE-AC0","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8799952057","display_name":null,"funder_award_id":"DE-AC05-00OR22","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8906985441","display_name":null,"funder_award_id":"00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8943143067","display_name":null,"funder_award_id":"AC05-00OR22725","funder_id":"https://openalex.org/F4320316892","funder_display_name":"UT-Battelle"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320306250","display_name":"Battelle","ror":"https://ror.org/01h5tnr73"},{"id":"https://openalex.org/F4320316892","display_name":"UT-Battelle","ror":"https://ror.org/04nza6677"},{"id":"https://openalex.org/F4320333916","display_name":"Office of Electricity","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3195934774.pdf","grobid_xml":"https://content.openalex.org/works/W3195934774.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W55663680","https://openalex.org/W1516907816","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1599132067","https://openalex.org/W1667249920","https://openalex.org/W1912159143","https://openalex.org/W1946342668","https://openalex.org/W1982787834","https://openalex.org/W1987593302","https://openalex.org/W1989169134","https://openalex.org/W1991414280","https://openalex.org/W2008794359","https://openalex.org/W2024032348","https://openalex.org/W2034596840","https://openalex.org/W2036109700","https://openalex.org/W2113952909","https://openalex.org/W2275016752","https://openalex.org/W2293918375","https://openalex.org/W2296045491","https://openalex.org/W2488041515","https://openalex.org/W2493112503","https://openalex.org/W2501040921","https://openalex.org/W2528056888","https://openalex.org/W2559251034","https://openalex.org/W2587586954","https://openalex.org/W2612027128","https://openalex.org/W2762797296","https://openalex.org/W2771792598","https://openalex.org/W2783018885","https://openalex.org/W2798031574","https://openalex.org/W2883022423","https://openalex.org/W2889281074","https://openalex.org/W2896204881","https://openalex.org/W2897249729","https://openalex.org/W2897753556","https://openalex.org/W2901615986","https://openalex.org/W2915045422","https://openalex.org/W2917942954","https://openalex.org/W2920927670","https://openalex.org/W2921462668","https://openalex.org/W2949437389","https://openalex.org/W2950072808","https://openalex.org/W2954877955","https://openalex.org/W2964121744","https://openalex.org/W2965198697","https://openalex.org/W2969690146","https://openalex.org/W2974211897","https://openalex.org/W2979735237","https://openalex.org/W2980392075","https://openalex.org/W2988364570","https://openalex.org/W2989784702","https://openalex.org/W2996953123","https://openalex.org/W2999761246","https://openalex.org/W3004832875","https://openalex.org/W3006867098","https://openalex.org/W3011903352","https://openalex.org/W3016208458","https://openalex.org/W3086718919","https://openalex.org/W3088188088","https://openalex.org/W3113065744","https://openalex.org/W3158261433","https://openalex.org/W3159778105","https://openalex.org/W3170128076","https://openalex.org/W4236706032","https://openalex.org/W6602249882","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6730409058","https://openalex.org/W6745059143","https://openalex.org/W6759049333","https://openalex.org/W6769667367"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4289763776","https://openalex.org/W2810330923","https://openalex.org/W3155717344","https://openalex.org/W1770458422","https://openalex.org/W1038900426"],"abstract_inverted_index":{"Photovoltaic":[0],"(PV)":[1],"power":[2,57],"prediction":[3],"has":[4],"a":[5,11,19,81,132,137,191],"constantly":[6],"evolving":[7],"solutions":[8],"landscape":[9],"with":[10],"myriad":[12],"of":[13,41,55,83,93,193,197],"data-driven":[14],"techniques.":[15],"Each":[16],"technique":[17],"leverages":[18],"self-adaptive":[20],"algorithm":[21],"that":[22,196,220,255],"must":[23],"retrain":[24],"in":[25,64,117,140,183,264],"intervals,":[26],"be":[27],"it":[28],"each":[29],"day,":[30],"week,":[31],"or":[32,44],"season,":[33],"to":[34,50,158,210],"avoid":[35],"the":[36,52,65,74,101,125,153,159,170,185,198,221,225,235,238,245,265],"model":[37,130,214],"generalizing":[38],"poorly":[39],"because":[40],"overfitting,":[42],"underfitting,":[43],"concept":[45,212],"drift.":[46],"This":[47,78],"paper":[48],"aims":[49],"improve":[51],"generalization":[53],"capability":[54],"PV":[56,134],"predictors":[58],"such":[59],"as":[60],"autoencoders":[61],"used":[62],"widely":[63],"industry":[66],"by":[67,164],"introducing":[68],"feature-enhanced":[69],"ensemble":[70,92,226],"learning":[71,227],"(FEEL)":[72],"after":[73],"feature":[75,128,178],"selection":[76],"step.":[77],"framework":[79,102,121,147,171,223],"uses":[80],"combination":[82],"nonparametric":[84],"regression":[85],"and":[86,90,205,213],"generalized":[87,172,224],"additive":[88],"models,":[89],"an":[91],"weak":[94],"regularized":[95],"multilayer":[96],"perceptron":[97],"models.":[98],"Once":[99],"trained,":[100],"can":[103],"reliably":[104],"generalize":[105],"on":[106,131,167],"test":[107,240],"data":[108],"across":[109,237],"long":[110],"time":[111],"periods":[112],"without":[113],"any":[114],"significant":[115],"degradation":[116],"performance.":[118],"The":[119,145,202],"proposed":[120],"was":[122,200],"validated":[123],"against":[124],"baseline":[126,199,236],"autoencoder-based":[127],"enhancement":[129,179],"real":[133],"system":[135],"from":[136],"smart":[138,252],"neighborhood":[139],"Alabama":[141],"for":[142,251,260],"September":[143],"2019.":[144],"FEEL":[146,186,222],"performed":[148],"three":[149],"times":[150,166,232],"better":[151,174,233],"than":[152,175,234],"baseline,":[154,160],"but":[155],"when":[156],"applied":[157],"its":[161],"performance":[162],"improved":[163],"two":[165,231],"average.":[168],"Furthermore,":[169],"consistently":[173],"five":[176],"other":[177,261],"strategies.":[180],"Despite":[181],"fluctuations":[182],"weather,":[184],"framework\u2019s":[187],"R-square":[188],"score":[189],"had":[190],"range":[192],"8.1%,":[194],"whereas":[195],"48.3%.":[201],"mutual":[203],"information":[204],"Minkowski":[206],"distance":[207],"scores":[208,218],"attempted":[209],"quantify":[211],"drift,":[215],"respectively.":[216],"These":[217,242],"show":[219],"models":[228],"at":[229],"least":[230],"different":[239],"days.":[241],"results":[243],"form":[244],"first":[246],"step":[247],"toward":[248],"decentralized":[249],"intelligence":[250],"grid":[253],"applications":[254],"could":[256],"free":[257],"up":[258],"resources":[259],"expensive":[262],"analytics":[263],"field.":[266]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
