{"id":"https://openalex.org/W7130563224","doi":"https://doi.org/10.1109/ictc66702.2025.11389094","title":"Data-Efficient Electricity Consumption Forecasting with a Tabular Foundation Model","display_name":"Data-Efficient Electricity Consumption Forecasting with a Tabular Foundation Model","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130563224","doi":"https://doi.org/10.1109/ictc66702.2025.11389094"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11389094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11389094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5005014512","display_name":"Seeun Kim","orcid":"https://orcid.org/0000-0002-1949-451X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seeun Kim","raw_affiliation_strings":["Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103077562","display_name":"Jungmin Lim","orcid":"https://orcid.org/0000-0001-6395-1960"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungmin Lim","raw_affiliation_strings":["Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126381710","display_name":"Jiyoon Byun","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiyoon Byun","raw_affiliation_strings":["Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021347438","display_name":"Jeongyeon Kim","orcid":"https://orcid.org/0000-0002-1925-5498"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongyeon Kim","raw_affiliation_strings":["Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084140552","display_name":"Hanul Kim","orcid":"https://orcid.org/0000-0003-3183-8917"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanul Kim","raw_affiliation_strings":["Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Dept. Applied Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"489","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9021999835968018,"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":0.9021999835968018,"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":0.016300000250339508,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/electricity","display_name":"Electricity","score":0.7289000153541565},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.6955999732017517},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6827999949455261},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5547999739646912},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5546000003814697},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.5006999969482422},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4383000135421753},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.43389999866485596}],"concepts":[{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.7289000153541565},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.6955999732017517},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6827999949455261},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5547999739646912},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5546000003814697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5027999877929688},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4032999873161316},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3937999904155731},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3741999864578247},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27459999918937683},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.25679999589920044},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11389094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11389094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8725808262825012,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2030888282","https://openalex.org/W2064675550","https://openalex.org/W2295598076","https://openalex.org/W2550143307","https://openalex.org/W2551393996","https://openalex.org/W2796355439","https://openalex.org/W2980994438","https://openalex.org/W2996374824","https://openalex.org/W3015607250","https://openalex.org/W3026580790","https://openalex.org/W3177318507","https://openalex.org/W3193849607","https://openalex.org/W3201109720","https://openalex.org/W4283777413","https://openalex.org/W4285276855","https://openalex.org/W4309559250","https://openalex.org/W4385245566","https://openalex.org/W4390874575","https://openalex.org/W4400762160","https://openalex.org/W4402347960","https://openalex.org/W4404954875","https://openalex.org/W4406761689","https://openalex.org/W4408098206","https://openalex.org/W4408210368","https://openalex.org/W4409766004","https://openalex.org/W4413146238","https://openalex.org/W7116861271"],"related_works":[],"abstract_inverted_index":{"We":[0,9,45],"address":[1],"building-level":[2],"electricity":[3,20],"consumption":[4,21],"forecasting":[5],"under":[6],"limited":[7],"data.":[8],"introduce":[10],"a":[11,24,28],"simple":[12],"pipeline":[13],"that":[14,64],"couples":[15],"feature":[16],"engineering":[17],"with":[18],"an":[19],"predictor":[22],"comprising":[23],"tree-based":[25,73],"model":[26,67,74],"and":[27,79],"tabular":[29],"foundation":[30,66],"model.":[31],"A":[32],"lightweight":[33],"meta-learner":[34],"aggregates":[35],"their":[36],"outputs":[37],"to":[38],"exploit":[39],"complementary":[40],"strengths":[41],"of":[42,49],"these":[43],"models.":[44],"assess":[46],"the":[47,50,54,65,72,80,84],"effectiveness":[48],"proposed":[51],"approach":[52],"on":[53,59],"KEA-2025":[55],"dataset.":[56],"Experimental":[57],"results":[58],"varying":[60],"training-history":[61],"lengths":[62],"demonstrate":[63],"excels":[68],"in":[69],"low-data":[70],"regimes,":[71],"improves":[75],"as":[76],"data":[77],"grow,":[78],"ensemble":[81],"consistently":[82],"achieves":[83],"best":[85],"performance.":[86]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-20T00:00:00"}
