{"id":"https://openalex.org/W2907932642","doi":"https://doi.org/10.1109/smartgridcomm.2018.8587591","title":"Day-ahead electricity consumption prediction of a population of households: analyzing different machine learning techniques based on real data from RTE in France","display_name":"Day-ahead electricity consumption prediction of a population of households: analyzing different machine learning techniques based on real data from RTE in France","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2907932642","doi":"https://doi.org/10.1109/smartgridcomm.2018.8587591","mag":"2907932642"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm.2018.8587591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2018.8587591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","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/A5088723128","display_name":"Philipp Theile","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Philipp Theile","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002454429","display_name":"Anna-Linnea Towle","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anna-Linnea Towle","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051013776","display_name":"Kaustubh Karnataki","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kaustubh Karnataki","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089441661","display_name":"Alessandro Crosara","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Alessandro Crosara","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021515512","display_name":"Kaveh Paridari","orcid":"https://orcid.org/0000-0002-4210-8672"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kaveh Paridari","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033640550","display_name":"Graham Turk","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Graham Turk","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049280139","display_name":"Lars Nordstr\u00f6m","orcid":"https://orcid.org/0000-0003-3014-5609"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lars Nordstrom","raw_affiliation_strings":["Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0475,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79236436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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/T10603","display_name":"Smart Grid Energy Management","score":0.994700014591217,"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":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113876342773438},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.6777569055557251},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.6468868255615234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6006500720977783},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5784133076667786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5506080389022827},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5495657920837402},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.542965292930603},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49187302589416504},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4447663724422455},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4444500803947449},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4413064122200012},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4350033700466156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3710331320762634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2588461637496948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17490309476852417},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.0893290638923645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113876342773438},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6777569055557251},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.6468868255615234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6006500720977783},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5784133076667786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506080389022827},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5495657920837402},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.542965292930603},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49187302589416504},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4447663724422455},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4444500803947449},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4413064122200012},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4350033700466156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3710331320762634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2588461637496948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17490309476852417},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0893290638923645},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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":1,"locations":[{"id":"doi:10.1109/smartgridcomm.2018.8587591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2018.8587591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1902934009","https://openalex.org/W1991151501","https://openalex.org/W2005683380","https://openalex.org/W2009086942","https://openalex.org/W2022692538","https://openalex.org/W2028070629","https://openalex.org/W2049751389","https://openalex.org/W2116048577","https://openalex.org/W2121069620","https://openalex.org/W2151767444","https://openalex.org/W2178310074","https://openalex.org/W2501888509","https://openalex.org/W2543643230","https://openalex.org/W2601171548","https://openalex.org/W2612810742","https://openalex.org/W2613278213","https://openalex.org/W2963114950","https://openalex.org/W3104996215","https://openalex.org/W3143860690","https://openalex.org/W6629510986","https://openalex.org/W6639703010","https://openalex.org/W6737454906","https://openalex.org/W6737889394"],"related_works":["https://openalex.org/W2351217280","https://openalex.org/W4298287631","https://openalex.org/W2086836292","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3208495680"],"abstract_inverted_index":{"Forecasting":[0],"of":[1,8,14,49,140,146],"power":[2,57,101],"consumption":[3,58,102],"has":[4,18],"been":[5],"a":[6,137],"topic":[7],"great":[9],"interest":[10],"for":[11,43,64,94,119],"the":[12,45,65,110,116,131,141,144],"stakeholders":[13],"electricity":[15],"markets.":[16],"It":[17],"an":[19],"essential":[20],"role":[21],"in":[22,97],"decision":[23],"making,":[24],"including":[25],"purchasing":[26],"and":[27,33,41,47,85,92,113],"generating":[28],"electric":[29],"power,":[30],"load":[31],"switching,":[32],"demand":[34,46],"side":[35],"management.":[36],"Different":[37],"algorithms":[38,80,111],"are":[39,90],"tested":[40,93],"used":[42,112,129],"balancing":[44],"supply":[48],"energy.":[50],"This":[51,104],"research":[52],"work":[53],"focuses":[54],"on":[55,109],"predicting":[56,98],"using":[59],"time":[60],"series":[61],"forecasting":[62],"methods":[63],"\u00cele-de-France":[66],"region":[67],"with":[68],"publicly":[69],"available":[70],"energy":[71],"data":[72,117],"from":[73],"RTE,":[74],"France.":[75],"The":[76,122,134],"two":[77],"machine":[78],"learning":[79],"Support":[81],"Vector":[82],"Machine":[83],"(SVM)":[84],"Recurrent":[86],"Neural":[87],"Network":[88],"(RNN)":[89],"implemented":[91],"their":[95],"accuracy":[96,139],"day-ahead":[99],"half-hourly":[100],"data.":[103],"paper":[105],"provides":[106],"brief":[107],"insights":[108],"further":[114],"explains":[115],"handling":[118],"its":[120],"implementation.":[121],"Mean":[123],"Absolute":[124],"Percentage":[125],"Error":[126],"(MAPE)":[127],"is":[128],"as":[130],"performance":[132],"measure.":[133],"results":[135],"indicate":[136],"higher":[138],"RNN":[142],"at":[143],"cost":[145],"longer":[147],"computation":[148],"times.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
