{"id":"https://openalex.org/W7162460969","doi":"https://doi.org/10.1145/3801489.3806838","title":"Online Smoothed Demand Management","display_name":"Online Smoothed Demand Management","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162460969","doi":"https://doi.org/10.1145/3801489.3806838"},"language":null,"primary_location":{"id":"doi:10.1145/3801489.3806838","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3801489.3806838","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3801489.3806838","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059934044","display_name":"Adam Lechowicz","orcid":"https://orcid.org/0000-0002-7774-9939"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Lechowicz","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-7774-9939","affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137080409","display_name":"Nicolas Christianson","orcid":"https://orcid.org/0000-0001-8330-8964"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas Christianson","raw_affiliation_strings":["Stanford University, Stanford, California, USA"],"raw_orcid":"https://orcid.org/0000-0001-8330-8964","affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, California, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137032969","display_name":"Mohammad Hajiesmaili","orcid":"https://orcid.org/0000-0001-9278-2254"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Hajiesmaili","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0001-9278-2254","affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062565732","display_name":"Adam Wierman","orcid":"https://orcid.org/0000-0002-5923-0199"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Wierman","raw_affiliation_strings":["California Institute of Technology, Pasadena, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-5923-0199","affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, California, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121406076","display_name":"Prashant Shenoy","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prashant Shenoy","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-5435-1901","affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":31.3023,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99291144,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.5965999960899353,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.5965999960899353,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.2328999936580658,"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"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.07530000060796738,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/competitive-analysis","display_name":"Competitive analysis","score":0.5196999907493591},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.5001000165939331},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.4952999949455261},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3898000121116638},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.37599998712539673},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.37279999256134033},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.36410000920295715},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.34709998965263367},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.3319999873638153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854000091552734},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.5196999907493591},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.5001000165939331},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45730000734329224},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3898000121116638},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37700000405311584},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.37599998712539673},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.34709998965263367},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.3319999873638153},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3149000108242035},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C94107157","wikidata":"https://www.wikidata.org/wiki/Q1077518","display_name":"Cost accounting","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.2892000079154968},{"id":"https://openalex.org/C32597650","wikidata":"https://www.wikidata.org/wiki/Q5255044","display_name":"Demand patterns","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3801489.3806838","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3801489.3806838","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3801489.3806838","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3801489.3806838","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8883010745048523,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2118877434","https://openalex.org/W4243443865","https://openalex.org/W4399254466"],"related_works":[],"abstract_inverted_index":{"We":[0,175,243],"introduce":[1],"and":[2,24,53,96,139,145,151,189,266],"study":[3,250],"a":[4,78,108,118,127,132,177,208,248,252],"class":[5],"of":[6,48,56,82,129,173,202,233,240,251],"online":[7,10,162],"problems":[8,159],"called":[9,182],"smoothed":[11],"demand":[12,83],"management":[13],"(":[14],"OSDM":[15,156,181,213],"),":[16],"motivated":[17],"by":[18],"paradigm":[19],"shifts":[20],"in":[21,160,247],"grid":[22],"integration":[23],"energy":[25,29,49,57,75,136],"storage":[26,76],"for":[27,63,134,180,212],"large":[28],"consumers":[30],"such":[31],"as":[32],"data":[33,254],"centers.":[34],"In":[35],"OSDM,":[36],"an":[37,46,54],"operator":[38],"makes":[39],"two":[40],"decisions":[41,69],"at":[42,92,103],"each":[43],"time":[44,105],"step:":[45],"amount":[47,55],"to":[50,58,116,121,148,169,223,274],"be":[51,59,90,101],"purchased,":[52],"delivered":[60],"(i.e.,":[61,222],"used":[62],"computation).":[64],"The":[65,112],"difference":[66],"between":[67],"these":[68],"charges":[70],"(or":[71],"discharges)":[72],"the":[73,93,122,143,161,167,193,199,218,234,241,264],"operator's":[74,113],"(e.g.,":[77],"battery).":[79],"Two":[80],"types":[81],"arrive":[84],"online:":[85],"base":[86],"demand,":[87,98],"which":[88,99],"must":[89],"covered":[91],"current":[94],"time,":[95],"flexible":[97],"can":[100],"satisfied":[102],"any":[104],"steps":[106],"before":[107],"demand-specific":[109],"deadline":[110],"\u0394_t.":[111],"goal":[114],"is":[115],"minimize":[117],"cost":[119,128,133],"(subject":[120],"constraints":[123],"above)":[124],"that":[125,214,260],"combines":[126],"purchasing":[130,144],"energy,":[131],"delivering":[135],"(if":[137],"applicable),":[138],"smoothness":[140],"penalties":[141],"on":[142,217,237],"delivery":[146],"rates":[147],"discourage":[149],"fluctuations":[150],"encourage":[152],"''grid":[153],"healthy''":[154],"decisions.":[155],"generalizes":[157],"several":[158],"algorithms":[163,246],"literature":[164],"while":[165,228],"being":[166],"first":[168],"fully":[170],"model":[171],"applications":[172],"interest.":[174],"propose":[176,207],"competitive":[178,195,220],"algorithm":[179,236],"PAAD":[183,261,275],"(partitioned":[184],"accounting":[185],"&":[186],"aggregated":[187],"decisions)":[188],"show":[190],"it":[191],"achieves":[192,269],"optimal":[194],"ratio.":[196],"To":[197],"overcome":[198],"pessimism":[200],"typical":[201],"worst-case":[203,219],"analysis,":[204],"we":[205],"also":[206],"novel":[209],"learning":[210,232,268],"framework":[211],"provides":[215],"guarantees":[216],"ratio":[221],"provide":[224],"robustness":[225],"against":[226],"nonstationarity)":[227],"allowing":[229],"end-to-end":[230,267],"differentiable":[231],"best":[235],"historical":[238],"instances":[239],"problem.":[242],"evaluate":[244],"our":[245],"case":[249],"grid-integrated":[253],"center":[255],"with":[256],"battery":[257],"storage,":[258],"showing":[259],"effectively":[262],"solves":[263],"problem":[265],"substantial":[270],"performance":[271],"improvements":[272],"compared":[273],".":[276]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-27T00:00:00"}