{"id":"https://openalex.org/W4388320649","doi":"https://doi.org/10.1145/3600100.3626279","title":"Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building","display_name":"Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388320649","doi":"https://doi.org/10.1145/3600100.3626279"},"language":"en","primary_location":{"id":"doi:10.1145/3600100.3626279","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600100.3626279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","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/A5044266382","display_name":"Yang Deng","orcid":"https://orcid.org/0000-0002-9822-3346"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Deng","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0002-9822-3346","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101604248","display_name":"Rui Liang","orcid":"https://orcid.org/0009-0005-6109-3049"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rui Liang","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0005-6109-3049","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077640736","display_name":"Jiaqi Fan","orcid":"https://orcid.org/0009-0002-3541-7984"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiaqi Fan","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0002-3541-7984","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020565122","display_name":"Ao Li","orcid":"https://orcid.org/0000-0002-9981-2855"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ao Li","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0002-9981-2855","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411794","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-0921-2726"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0002-0921-2726","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"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":"318","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8774341344833374},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7836945056915283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391778230667114},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6427021026611328},{"id":"https://openalex.org/keywords/model-building","display_name":"Model building","score":0.6300113797187805},{"id":"https://openalex.org/keywords/building-model","display_name":"Building model","score":0.5697528123855591},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5630316734313965},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5306901931762695},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4554330110549927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4498457610607147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38364559412002563},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.18966177105903625}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8774341344833374},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7836945056915283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391778230667114},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6427021026611328},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.6300113797187805},{"id":"https://openalex.org/C2778530916","wikidata":"https://www.wikidata.org/wiki/Q1352349","display_name":"Building model","level":2,"score":0.5697528123855591},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5630316734313965},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5306901931762695},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4554330110549927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4498457610607147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38364559412002563},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.18966177105903625},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3600100.3626279","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600100.3626279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3095976090","https://openalex.org/W3122220845","https://openalex.org/W4283259765","https://openalex.org/W4283276262"],"related_works":["https://openalex.org/W2312903756","https://openalex.org/W2003059389","https://openalex.org/W753603726","https://openalex.org/W4232249373","https://openalex.org/W187969313","https://openalex.org/W2998533289","https://openalex.org/W2162698833","https://openalex.org/W2072551401","https://openalex.org/W2048771665","https://openalex.org/W82012382"],"abstract_inverted_index":{"Building":[0],"load":[1],"forecasting":[2],"(BLF)":[3],"is":[4,38,68,75,109],"important":[5],"for":[6,103,129,138],"many":[7],"building":[8,43,118,140],"applications.":[9],"And":[10],"we":[11,86,124],"see":[12],"an":[13],"increasing":[14],"number":[15],"of":[16],"ML-based":[17],"BLF":[18,81,95,153],"models":[19,25],"developed.":[20],"Unfortunately,":[21],"the":[22,31,49,65,94,117,126,130,135,142],"existing":[23],"published":[24],"are":[26],"usually":[27],"only":[28],"tested":[29],"by":[30],"overall":[32],"accuracy,":[33],"and":[34,73,97,123],"their":[35],"in-usage":[36,143],"performance":[37],"unknown":[39],"to":[40,79,92,110,113],"a":[41,53,88,104,151],"target":[42,105],"(with":[44],"some":[45],"specified":[46],"characteristics).":[47],"Therefore,":[48],"practitioner":[50],"may":[51],"select":[52],"model":[54,96,101,154],"with":[55],"unacceptable":[56],"accuracy":[57],"while":[58],"deployed":[59],"in":[60],"use.":[61],"We":[62,115,149,159],"argue":[63],"that":[64,69,145],"main":[66],"problem":[67],"buildings":[70],"have":[71],"heterogeneity":[72],"there":[74],"no":[76],"effective":[77],"solution":[78],"compare":[80],"models.":[82],"In":[83],"this":[84],"paper,":[85],"propose":[87,125],"new":[89],"evaluation":[90],"methodology":[91,133,162],"evaluate":[93],"hence":[98],"can":[99],"promote":[100],"selection":[102],"building.":[106],"The":[107],"challenge":[108],"specify":[111],"\"what":[112],"evaluate\".":[114],"categorize":[116],"types":[119],"from":[120],"three":[121],"perspectives":[122],"corresponding":[127],"concerns":[128,144],"perspectives.":[131],"Our":[132],"specifies":[134],"tests,":[136],"i.e.,":[137],"each":[139],"type,":[141],"should":[146],"be":[147],"tested.":[148],"conduct":[150],"small-scale":[152],"benchmarking":[155],"on":[156],"these":[157],"concerns.":[158],"evaluated":[160],"our":[161],"using":[163],"two":[164],"case":[165],"studies.":[166]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
