{"id":"https://openalex.org/W7225104705","doi":"https://doi.org/10.21203/rs.3.rs-11065747/v1","title":"Utility-Gated Personalized Federated Forecasting for Peak-Constrained Building Energy Management","display_name":"Utility-Gated Personalized Federated Forecasting for Peak-Constrained Building Energy Management","publication_year":2026,"publication_date":"2026-11-02","ids":{"openalex":"https://openalex.org/W7225104705","doi":"https://doi.org/10.21203/rs.3.rs-11065747/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-11065747/v1","doi":"https://doi.org/10.21203/rs.3.rs-11065747/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11065747/v1","pdf_url":"https://www.researchsquare.com/article/rs-11065747/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-11065747/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100431222","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-2974-0972","observed_orcids":["https://orcid.org/0000-0002-2974-0972"]},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Microsoft (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft (Canada)","institution_ids":["https://openalex.org/I4210153468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100431222"],"corresponding_institution_ids":["https://openalex.org/I4210153468"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.5981000065803528,"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/T10603","display_name":"Smart Grid Energy Management","score":0.5981000065803528,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.1468999981880188,"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":0.11599999666213989,"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/building-energy-management","display_name":"building energy management","score":0.7829999923706055},{"id":"https://openalex.org/keywords/load-forecasting","display_name":"load forecasting","score":0.5690000057220459},{"id":"https://openalex.org/keywords/battery-energy-storage","display_name":"battery energy storage","score":0.49799999594688416},{"id":"https://openalex.org/keywords/peak-shaving","display_name":"peak shaving","score":0.5099999904632568},{"id":"https://openalex.org/keywords/low-rank-adapters","display_name":"low-rank adapters","score":0.7860000133514404},{"id":"https://openalex.org/keywords/cross-fitting","display_name":"cross-fitting","score":0.7450000047683716},{"id":"https://openalex.org/keywords/communication-efficiency","display_name":"communication efficiency","score":0.6930000185966492},{"id":"https://openalex.org/keywords/solar-power-forecasting","display_name":"photovoltaic power forecasting","score":0.6800000071525574},{"id":"https://openalex.org/keywords/electricity-load-forecasting","display_name":"electricity load forecasting","score":0.8059999942779541},{"id":"https://openalex.org/keywords/distributed-energy-systems","display_name":"distributed energy systems","score":0.42399999499320984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309999823570251},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.4047999978065491},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.37880000472068787},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3375999927520752},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3370000123977661},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C2781260460","wikidata":"https://www.wikidata.org/wiki/Q6139999","display_name":"Energy management system","level":4,"score":0.3003999888896942},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.29789999127388},{"id":"https://openalex.org/C520301825","wikidata":"https://www.wikidata.org/wiki/Q380170","display_name":"Energy conservation","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2946999967098236},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C2989104859","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery capacity","level":4,"score":0.29109999537467957},{"id":"https://openalex.org/C106527866","wikidata":"https://www.wikidata.org/wiki/Q1489497","display_name":"Building management system","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2705000042915344},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.26440000534057617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-11065747/v1","doi":"https://doi.org/10.21203/rs.3.rs-11065747/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11065747/v1","pdf_url":"https://www.researchsquare.com/article/rs-11065747/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-11065747/v1","doi":"https://doi.org/10.21203/rs.3.rs-11065747/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11065747/v1","pdf_url":"https://www.researchsquare.com/article/rs-11065747/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9853000044822693},{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.7207000255584717},{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5351999998092651}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225104705.pdf","grobid_xml":"https://content.openalex.org/works/W7225104705.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2166313543","https://openalex.org/W2436872002","https://openalex.org/W2594311007","https://openalex.org/W2604847698","https://openalex.org/W2736601468","https://openalex.org/W2901645090","https://openalex.org/W2982984621","https://openalex.org/W2995022099","https://openalex.org/W3108817086","https://openalex.org/W3160908551","https://openalex.org/W3210451168","https://openalex.org/W3211338353","https://openalex.org/W4295308572","https://openalex.org/W4320340663","https://openalex.org/W4399936898","https://openalex.org/W4409895099"],"related_works":["https://openalex.org/W4404565065","https://openalex.org/W3164333910","https://openalex.org/W4295308572","https://openalex.org/W4402567580","https://openalex.org/W7160244632","https://openalex.org/W4396781585","https://openalex.org/W7017999646","https://openalex.org/W7163043080","https://openalex.org/W4210973753","https://openalex.org/W7172487034"],"abstract_inverted_index":{"Abstract":[0],"Distributed":[1],"building":[2],"energy":[3,209],"management":[4],"depends":[5],"on":[6,58,70,115],"forecasts,":[7],"yet":[8],"federated":[9,122],"forecasting":[10,197],"is":[11,52,126,186],"commonly":[12],"evaluated":[13],"without":[14],"testing":[15],"the":[16,88,91,106,119,134,151],"decisions":[17],"that":[18,172,200],"those":[19],"forecasts":[20],"support.":[21],"This":[22],"study":[23],"examines":[24],"whether":[25],"selective,":[26],"communication-efficient":[27],"collaboration":[28],"improves":[29],"both":[30],"load":[31],"prediction":[32,202],"and":[33,42,73,84,104,168],"battery":[34,137],"operation.":[35],"The":[36,156,190],"proposed":[37,157],"UtilityGossipmethod":[38],"maintains":[39],"separate":[40],"private":[41],"collaborative":[43],"low-rank":[44],"adapters":[45],"at":[46],"each":[47],"node.":[48],"A":[49],"peer":[50],"adapter":[51],"incorporated":[53],"only":[54],"when":[55],"randomized":[56],"cross-fitting":[57],"local":[59,102,184],"held-out":[60,141],"data":[61],"indicates":[62],"a":[63,140,160,182],"meaningful":[64],"reduction":[65,163],"in":[66],"forecast":[67,131,158,173,185],"error.":[68],"Evaluation":[69],"public":[71],"electricity":[72],"solar":[74],"benchmarks":[75],"covers":[76],"longer":[77],"horizons,":[78],"alternative":[79],"network":[80],"topologies,":[81],"node":[82],"failures,":[83],"transmit-time":[85],"noise.":[86],"At":[87],"96-step":[89],"horizon,":[90],"method":[92],"reduces":[93],"Solar-Energy":[94],"mean":[95],"squared":[96],"error":[97,203],"by":[98,112,128],"1.59%":[99],"relative":[100,164],"to":[101,165],"training":[103],"avoids":[105],"greater":[107],"than":[108],"3%":[109],"degradation":[110],"caused":[111],"unconditional":[113],"federation":[114,194],"Electricity,":[116],"using":[117],"half":[118],"communication":[120],"of":[121],"averaging.":[123],"Operational":[124],"value":[125],"assessed":[127],"replaying":[129],"every":[130],"source":[132],"through":[133],"same":[135],"frozen":[136],"policy":[138],"for":[139,195],"week.":[142],"An":[143],"external":[144],"projection":[145],"prevents":[146],"coordinated":[147],"charging":[148],"from":[149],"increasing":[150],"running":[152],"no-storage":[153],"district":[154],"peak.":[155],"supports":[159],"19.34%":[161],"cost":[162],"no":[166],"storage,":[167],"diagnostic":[169],"replays":[170],"confirm":[171],"timing":[174],"affects":[175],"dispatch.":[176],"Its":[177],"additional":[178],"control":[179],"gain":[180],"over":[181],"strong":[183],"not":[187,205],"statistically":[188],"resolved.":[189],"results":[191],"support":[192],"selective":[193],"distributed":[196],"but":[198],"show":[199],"lower":[201],"does":[204],"necessarily":[206],"yield":[207],"proportional":[208],"savings.":[210]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-11-03T00:00:00"}