{"id":"https://openalex.org/W4384947661","doi":"https://doi.org/10.1109/iscas46773.2023.10182041","title":"Anchored Input-Output Learning for Electrical Load Demand Forecasting","display_name":"Anchored Input-Output Learning for Electrical Load Demand Forecasting","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4384947661","doi":"https://doi.org/10.1109/iscas46773.2023.10182041"},"language":"en","primary_location":{"id":"doi:10.1109/iscas46773.2023.10182041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10182041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074409158","display_name":"Paraskevi Nousi","orcid":"https://orcid.org/0000-0002-3087-3174"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paraskevi Nousi","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece","Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927916","display_name":"Maria Tzelepi","orcid":"https://orcid.org/0000-0001-5359-8315"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Tzelepi","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece","Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece","Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9922999739646912,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7324742674827576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7120491862297058},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.656586229801178},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.603334903717041},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5679129362106323},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5494078397750854},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.5232763886451721},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.4973619282245636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47784683108329773},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4601834714412689},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.45929592847824097},{"id":"https://openalex.org/keywords/power-demand","display_name":"Power demand","score":0.431448757648468},{"id":"https://openalex.org/keywords/on-demand","display_name":"On demand","score":0.41782212257385254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3917922079563141},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3054935336112976},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2294113039970398},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22056928277015686},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.1744881570339203},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.13330718874931335},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11930951476097107}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7324742674827576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120491862297058},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.656586229801178},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.603334903717041},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5679129362106323},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5494078397750854},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.5232763886451721},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.4973619282245636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47784683108329773},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4601834714412689},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.45929592847824097},{"id":"https://openalex.org/C2983317576","wikidata":"https://www.wikidata.org/wiki/Q1853339","display_name":"Power demand","level":4,"score":0.431448757648468},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.41782212257385254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3917922079563141},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3054935336112976},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2294113039970398},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22056928277015686},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.1744881570339203},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.13330718874931335},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11930951476097107},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas46773.2023.10182041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10182041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8899999856948853}],"awards":[{"id":"https://openalex.org/G4898469861","display_name":null,"funder_award_id":"T2EDK-03048","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W2023281112","https://openalex.org/W2117101597","https://openalex.org/W2176950688","https://openalex.org/W2194775991","https://openalex.org/W2742473260","https://openalex.org/W2782902016","https://openalex.org/W2792643794","https://openalex.org/W2963172626","https://openalex.org/W2972961631","https://openalex.org/W2975727903","https://openalex.org/W2996412301","https://openalex.org/W3084535629","https://openalex.org/W3115870039","https://openalex.org/W3129762955","https://openalex.org/W4285020244","https://openalex.org/W4285122835","https://openalex.org/W4289132177","https://openalex.org/W4311591642","https://openalex.org/W4311591755","https://openalex.org/W4312970348","https://openalex.org/W6631190155","https://openalex.org/W6749029207"],"related_works":["https://openalex.org/W2889440135","https://openalex.org/W3139346758","https://openalex.org/W2547469151","https://openalex.org/W2954830852","https://openalex.org/W2016759569","https://openalex.org/W4378365425","https://openalex.org/W2900674694","https://openalex.org/W245708997","https://openalex.org/W1529580051","https://openalex.org/W2016363698"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,55,68],"deal":[4],"with":[5,43],"the":[6,14,18,32,37,41,47,52,57,63,70,78,89,96,101],"one-day-ahead":[7],"electric":[8],"load":[9,65],"demand":[10,20],"forecasting":[11],"problem,":[12],"namely":[13],"task":[15,38],"of":[16,34,59,72,114],"predicting":[17],"electricity":[19],"a":[21,85,108],"day":[22],"ahead.":[23],"We":[24,81],"draw":[25],"inspiration":[26],"from":[27,88],"objection":[28],"detection":[29],"methods,":[30],"where":[31],"use":[33,58,71],"anchors":[35,60],"facilitates":[36],"by":[39],"providing":[40],"network":[42],"some":[44],"bias":[45],"resembling":[46],"expected":[48],"output.":[49,80],"Based":[50],"on":[51,84],"same":[53],"principles,":[54],"propose":[56,69],"and":[61,93],"encode":[62],"groundtruth":[64],"demand.":[66],"Furthermore,":[67],"anchor-encoded":[73],"input":[74],"features":[75],"to":[76],"match":[77],"encoded":[79],"perform":[82],"experiments":[83],"dataset":[86],"collected":[87],"Greek":[90],"Energy":[91],"Market":[92],"show":[94],"that":[95],"proposed":[97],"method":[98],"consistently":[99],"outperforms":[100],"baseline":[102],"methods.":[103],"Our":[104],"best":[105],"model":[106],"has":[107],"17.5%":[109],"relative":[110],"improvement":[111],"in":[112],"terms":[113],"Mean":[115],"Absolute":[116],"Percentage":[117],"Error.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}