{"id":"https://openalex.org/W3211428058","doi":"https://doi.org/10.1145/3426970","title":"Predictive Analytics of Energy Usage by IoT-Based Smart Home Appliances for Green Urban Development","display_name":"Predictive Analytics of Energy Usage by IoT-Based Smart Home Appliances for Green Urban Development","publication_year":2021,"publication_date":"2021-11-10","ids":{"openalex":"https://openalex.org/W3211428058","doi":"https://doi.org/10.1145/3426970","mag":"3211428058"},"language":"en","primary_location":{"id":"doi:10.1145/3426970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426970","pdf_url":null,"source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet Technology","raw_type":"journal-article"},"type":"article","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/A5039552087","display_name":"Mohammad Shorfuzzaman","orcid":"https://orcid.org/0000-0002-8050-8431"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Mohammad Shorfuzzaman","raw_affiliation_strings":["Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037865550","display_name":"M. Shamim Hossain","orcid":"https://orcid.org/0000-0001-5906-9422"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"M. Shamim Hossain","raw_affiliation_strings":["Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039552087"],"corresponding_institution_ids":["https://openalex.org/I179331831"],"apc_list":null,"apc_paid":null,"fwci":0.7117,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.70447507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"2","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9965999722480774,"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":0.9965999722480774,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8356389403343201},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7132478952407837},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.6631231307983398},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.6587359309196472},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5714767575263977},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5117282867431641},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4807429313659668},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4411129057407379},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42706814408302307},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.4114239811897278},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.35591089725494385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3391640782356262},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14081498980522156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07557013630867004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356389403343201},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7132478952407837},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.6631231307983398},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.6587359309196472},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5714767575263977},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5117282867431641},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4807429313659668},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4411129057407379},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42706814408302307},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.4114239811897278},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.35591089725494385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3391640782356262},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14081498980522156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07557013630867004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426970","pdf_url":null,"source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4000000059604645,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1968685068","https://openalex.org/W1988431072","https://openalex.org/W2014400700","https://openalex.org/W2014594635","https://openalex.org/W2020189623","https://openalex.org/W2041785419","https://openalex.org/W2058401212","https://openalex.org/W2062978452","https://openalex.org/W2063151210","https://openalex.org/W2087310019","https://openalex.org/W2162126029","https://openalex.org/W2167505895","https://openalex.org/W2180338159","https://openalex.org/W2330246863","https://openalex.org/W2330456757","https://openalex.org/W2462062561","https://openalex.org/W2484686718","https://openalex.org/W2518164973","https://openalex.org/W2530303114","https://openalex.org/W2539733177","https://openalex.org/W2585502432","https://openalex.org/W2587587411","https://openalex.org/W2619694727","https://openalex.org/W2756603580","https://openalex.org/W2783876732","https://openalex.org/W2890182740","https://openalex.org/W2891846480","https://openalex.org/W2893898383","https://openalex.org/W2897578996","https://openalex.org/W2906408823","https://openalex.org/W2915149867","https://openalex.org/W2932453026","https://openalex.org/W2939935925","https://openalex.org/W2984291819","https://openalex.org/W2998881389","https://openalex.org/W3010061561","https://openalex.org/W3025712836"],"related_works":["https://openalex.org/W2570647323","https://openalex.org/W2206805568","https://openalex.org/W2076942471","https://openalex.org/W3027285423","https://openalex.org/W2863268765","https://openalex.org/W2896245927","https://openalex.org/W4205879366","https://openalex.org/W1961101704","https://openalex.org/W4254129905","https://openalex.org/W2414447594"],"abstract_inverted_index":{"Green":[0],"IoT":[1,6,17,41],"primarily":[2],"focuses":[3],"on":[4,200],"increasing":[5,20],"sustainability":[7],"by":[8,16,51,158],"reducing":[9],"the":[10,21,32,59,73,96,102,110,167,185,206,215,222],"large":[11,40],"amount":[12],"of":[13,23,62,105,109,218],"energy":[14,60,82,103,132,197,202,216,223,231],"required":[15],"devices.":[18],"Whether":[19],"efficiency":[22],"these":[24],"devices":[25],"or":[26],"conserving":[27],"energy,":[28],"predictive":[29,48,208],"analytics":[30],"is":[31,85],"cornerstone":[33],"for":[34,174],"creating":[35],"value":[36],"and":[37,90,126,154,170,221,228],"insight":[38],"from":[39,54,76,123,135],"data.":[42],"This":[43],"work":[44],"aims":[45],"at":[46],"providing":[47],"models":[49,112,157,209],"driven":[50],"data":[52,134,173],"collected":[53],"various":[55,124],"sensors":[56],"to":[57,94,193,213,225,233],"model":[58,84,183],"usage":[61,203,217],"appliances":[63,136,220],"in":[64,100,137],"an":[65,80,138],"IoT-based":[66,139],"smart":[67,140],"home":[68,141,219],"environment.":[69],"Specifically,":[70],"we":[71,178],"address":[72],"prediction":[74,144],"problem":[75],"two":[77],"perspectives.":[78],"Firstly,":[79],"overall":[81],"consumption":[83,104,133,198],"developed":[86],"using":[87,115,184],"both":[88],"linear":[89,153],"non-linear":[91],"regression":[92,150,156],"techniques":[93],"identify":[95],"most":[97],"relevant":[98],"features":[99],"predicting":[101],"appliances.":[106],"The":[107,143],"performances":[108],"proposed":[111,207],"are":[113],"assessed":[114],"a":[116,180],"publicly":[117],"available":[118],"dataset":[119],"comprising":[120],"historical":[121],"measurements":[122],"humidity":[125],"temperature":[127],"sensors,":[128],"along":[129],"with":[130,166],"total":[131],"setup.":[142],"results":[145],"comparison":[146],"show":[147],"that":[148],"LSTM":[149],"outperforms":[151],"other":[152],"ensemble":[155],"showing":[159],"high":[160],"variability":[161],"(":[162],"R":[163],"2":[164],")":[165],"training":[168],"(96.2%)":[169],"test":[171],"(96.1%)":[172],"selected":[175],"features.":[176],"Secondly,":[177],"develop":[179],"multi-step":[181],"time-series":[182],"auto":[186],"regressive":[187],"integrated":[188],"moving":[189],"average":[190],"(ARIMA)":[191],"technique":[192],"effectively":[194],"forecast":[195,229],"future":[196,230],"based":[199],"past":[201],"history.":[204],"Overall,":[205],"will":[210],"enable":[211],"consumers":[212],"minimize":[214],"providers":[224],"better":[226],"plan":[227],"demand":[232],"facilitate":[234],"green":[235],"urban":[236],"development.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}