{"id":"https://openalex.org/W3014204149","doi":"https://doi.org/10.1145/3341105.3374053","title":"Empowering personalized feedback on hot water usage","display_name":"Empowering personalized feedback on hot water usage","publication_year":2020,"publication_date":"2020-03-29","ids":{"openalex":"https://openalex.org/W3014204149","doi":"https://doi.org/10.1145/3341105.3374053","mag":"3014204149"},"language":"en","primary_location":{"id":"doi:10.1145/3341105.3374053","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","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/A5046855636","display_name":"Sebastian A. G\u00fcnther","orcid":"https://orcid.org/0000-0002-8005-7546"},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian A. G\u00fcnther","raw_affiliation_strings":["University of Bamberg, Bamberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055796526","display_name":"Carlo Stingl","orcid":null},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carlo Stingl","raw_affiliation_strings":["University of Bamberg, Bamberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030577733","display_name":"Vlad C. Coroam\u0103","orcid":"https://orcid.org/0000-0002-9292-3886"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Vlad C. Coroam\u0103","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031268125","display_name":"Samuel Sch\u00f6b","orcid":"https://orcid.org/0000-0002-6560-5065"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Sch\u00f6b","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052382186","display_name":"Thorsten Staake","orcid":"https://orcid.org/0000-0003-1399-4676"},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Staake","raw_affiliation_strings":["University of Bamberg, Bamberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03336705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"763","last_page":"766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9980000257492065,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shower","display_name":"Shower","score":0.9405243992805481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254807949066162},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5883864164352417},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5513001084327698},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.46692535281181335},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.436554491519928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3752163052558899},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3560667634010315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33270472288131714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14102935791015625}],"concepts":[{"id":"https://openalex.org/C2776732256","wikidata":"https://www.wikidata.org/wiki/Q7863","display_name":"Shower","level":3,"score":0.9405243992805481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254807949066162},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5883864164352417},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5513001084327698},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.46692535281181335},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.436554491519928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3752163052558899},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3560667634010315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33270472288131714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14102935791015625},{"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/C56200935","wikidata":"https://www.wikidata.org/wiki/Q250840","display_name":"Nozzle","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341105.3374053","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2020405099","https://openalex.org/W2026973848","https://openalex.org/W2064321776","https://openalex.org/W2108292269","https://openalex.org/W2123998733","https://openalex.org/W2130316596","https://openalex.org/W2147478345","https://openalex.org/W2153635508","https://openalex.org/W2244624726","https://openalex.org/W2406344976","https://openalex.org/W2507332899","https://openalex.org/W2517331439","https://openalex.org/W2544745230","https://openalex.org/W2753485581","https://openalex.org/W2901889472","https://openalex.org/W2911964244","https://openalex.org/W2963891150","https://openalex.org/W3001645704","https://openalex.org/W6728933153"],"related_works":["https://openalex.org/W2409463747","https://openalex.org/W91150482","https://openalex.org/W162789194","https://openalex.org/W4372300439","https://openalex.org/W2039449057","https://openalex.org/W3128060788","https://openalex.org/W2966471558","https://openalex.org/W2030968404","https://openalex.org/W2811014843","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Digitalization":[0],"enables":[1],"an":[2,137,162],"ever-increasing":[3],"opportunity":[4],"to":[5,14,30],"promote":[6],"resource":[7],"conservation":[8],"by":[9,53],"providing":[10],"timely":[11],"consumption":[12,57],"feedback":[13,33],"individuals.":[15],"Yet,":[16],"in":[17,148,156],"multi-person":[18],"households,":[19],"appliances":[20],"and":[21,78,82,160],"fixtures":[22],"are":[23],"often":[24],"shared,":[25],"which":[26,96],"makes":[27],"it":[28],"difficult":[29],"deliver":[31],"person-specific":[32],"for":[34,44,143,167,179],"each":[35],"user.":[36],"In":[37],"this":[38,42,60],"paper,":[39],"we":[40,62],"tackle":[41],"problem":[43],"household's":[45],"most":[46,145],"energy-intensive":[47],"day-to-day":[48],"activity":[49],"-":[50,52,95,104],"showering":[51],"leveraging":[54],"granular":[55],"water":[56],"data.":[58],"To":[59],"end,":[61],"collected":[63],"labeled":[64],"time":[65],"series":[66],"data":[67,178],"of":[68,86,121,140,165],"691":[69],"shower":[70,123],"events":[71],"from":[72],"28":[73],"individuals,":[74],"defined":[75],"features,":[76],"implemented":[77],"adjusted":[79],"several":[80],"classifiers,":[81],"analyzed":[83],"the":[84,93,109,119,127,130,144,172],"feasibility":[85],"our":[87,149],"identification":[88],"approach.":[89],"Across":[90],"all":[91],"locations,":[92],"results":[94],"were":[97],"evaluated":[98],"with":[99,129],"stratified":[100],"five-fold":[101],"cross":[102],"validations":[103],"provide":[105],"robust":[106],"evidence":[107],"that":[108],"presented":[110],"approach":[111,173],"can":[112],"indeed":[113],"identify":[114],"users":[115],"reliably":[116],"immediately":[117],"after":[118],"end":[120],"a":[122,157,168,180],"event.":[124],"More":[125],"specifically,":[126],"classifier":[128],"best":[131],"overall":[132],"performance":[133],"(Random":[134],"Forest)":[135],"achieved":[136],"average":[138,163],"accuracy":[139,164],"83.2%":[141],"even":[142],"challenging":[146],"environment":[147],"field":[150],"test":[151],"(differentiating":[152],"between":[153],"five":[154],"individuals":[155],"company":[158],"shower)":[159],"reached":[161],"98.8%":[166],"two-person":[169],"household.":[170],"Moreover,":[171],"requires":[174],"only":[175],"little":[176],"training":[177],"satisfactory":[181],"performance.":[182]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
