{"id":"https://openalex.org/W4378714160","doi":"https://doi.org/10.1109/access.2023.3280857","title":"Multi-Task Learning for Electricity Price Forecasting and Resource Management in Cloud Based Industrial IoT Systems","display_name":"Multi-Task Learning for Electricity Price Forecasting and Resource Management in Cloud Based Industrial IoT Systems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378714160","doi":"https://doi.org/10.1109/access.2023.3280857"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3280857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3280857","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10138196.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10138196.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058352305","display_name":"Abdulwahab Ali Almazroi","orcid":"https://orcid.org/0000-0001-7181-2100"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdulwahab Ali Almazroi","raw_affiliation_strings":["Department of Information Technology, College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-7181-2100","affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nasir Ayub","orcid":"https://orcid.org/0000-0002-3243-4095"},"institutions":[{"id":"https://openalex.org/I4210088086","display_name":"Capital University of Science and Technology","ror":"https://ror.org/004776246","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210088086"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nasir Ayub","raw_affiliation_strings":["Department of Software Engineering, Faculty of Computing, Capital University of Science and Technology, Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-3243-4095","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Faculty of Computing, Capital University of Science and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I4210088086"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.7376,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95401015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"54280","last_page":"54295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9970999956130981,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9970999956130981,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.995199978351593,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.8115556240081787},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7558035254478455},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6028340458869934},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5198633670806885},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45850664377212524},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.45438918471336365},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3523811101913452},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14606139063835144},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12066304683685303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115556240081787},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7558035254478455},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6028340458869934},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5198633670806885},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45850664377212524},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.45438918471336365},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3523811101913452},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14606139063835144},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12066304683685303},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3280857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3280857","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10138196.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c274e42b48794c4ab9baaf6682884943","is_oa":true,"landing_page_url":"https://doaj.org/article/c274e42b48794c4ab9baaf6682884943","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 54280-54295 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3280857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3280857","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10138196.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378714160.pdf","grobid_xml":"https://content.openalex.org/works/W4378714160.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W2246035736","https://openalex.org/W2914559644","https://openalex.org/W2921392576","https://openalex.org/W2923662128","https://openalex.org/W2941300701","https://openalex.org/W2948535221","https://openalex.org/W2965751469","https://openalex.org/W2965780602","https://openalex.org/W2968516859","https://openalex.org/W3004442222","https://openalex.org/W3008403241","https://openalex.org/W3010192349","https://openalex.org/W3011916980","https://openalex.org/W3086578763","https://openalex.org/W3086718919","https://openalex.org/W3090894057","https://openalex.org/W3095671294","https://openalex.org/W3109365969","https://openalex.org/W3121592851","https://openalex.org/W3129311377","https://openalex.org/W3132823556","https://openalex.org/W3166799585","https://openalex.org/W3171826173","https://openalex.org/W3177117223","https://openalex.org/W3185906304","https://openalex.org/W3202142015","https://openalex.org/W3204849788","https://openalex.org/W3205673351","https://openalex.org/W3211104779","https://openalex.org/W4200231892","https://openalex.org/W4200263547","https://openalex.org/W4200327863","https://openalex.org/W4206510620","https://openalex.org/W4210997473","https://openalex.org/W4221005058","https://openalex.org/W4224013576","https://openalex.org/W4280561301","https://openalex.org/W4282937133","https://openalex.org/W4294243546","https://openalex.org/W4294564724","https://openalex.org/W4307984676","https://openalex.org/W4309686378","https://openalex.org/W4311436294","https://openalex.org/W4312037473","https://openalex.org/W4312123771","https://openalex.org/W4312885369","https://openalex.org/W4313201751","https://openalex.org/W4313260199","https://openalex.org/W4313576056","https://openalex.org/W4313907778","https://openalex.org/W4321021008","https://openalex.org/W4322627852","https://openalex.org/W4323665371","https://openalex.org/W4324044577","https://openalex.org/W4360981883","https://openalex.org/W6838679761","https://openalex.org/W6847867732"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W4244478748","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2092530219","https://openalex.org/W4214747436","https://openalex.org/W2953002963"],"abstract_inverted_index":{"Cloud":[0,65],"computing":[1,14,30],"has":[2,103,119,210],"gained":[3],"immense":[4],"popularity":[5],"in":[6,97,121,125,157,198,204],"the":[7,18,46,56,71,145,162,171,175],"logistics":[8,63,98],"industry.":[9],"This":[10],"innovative":[11],"technology":[12],"optimizes":[13],"operations":[15],"by":[16],"eliminating":[17],"requirement":[19],"for":[20,23,55,144,167],"physical":[21],"equipment":[22],"calculations.":[24],"Instead,":[25],"specialized":[26],"companies":[27],"provide":[28],"cloud-based":[29],"services,":[31],"relying":[32],"heavily":[33],"on":[34],"computers":[35],"and":[36,50,59,90,110,147,192,223,231],"servers":[37],"that":[38],"consume":[39],"substantial":[40],"amounts":[41],"of":[42,48,61,73,116,161,190,195,202,213,228],"energy.":[43],"Hence,":[44],"ensuring":[45],"availability":[47],"affordable":[49],"dependable":[51],"electricity":[52,205],"is":[53],"paramount":[54],"efficient":[57,87],"design":[58],"management":[60,92],"these":[62],"services.":[64],"centers,":[66],"which":[67],"are":[68,94],"power-intensive,":[69],"face":[70],"challenge":[72],"reducing":[74],"their":[75],"energy":[76,126],"consumption":[77,127],"due":[78],"to":[79,106,139,169,179,216],"escalating":[80],"power":[81,112,185],"costs.":[82],"To":[83],"address":[84],"this":[85,117],"issue,":[86],"data":[88,129,164],"placement":[89],"node":[91],"strategies":[93],"commonly":[95],"employed":[96],"operations.":[99],"An":[100],"AlexNet":[101,146],"model":[102,132,183],"been":[104],"designed":[105],"optimize":[107],"storage":[108],"relocation":[109],"predict":[111],"prices.":[113],"The":[114,131,182],"outcome":[115],"initiative":[118],"resulted":[120],"a":[122,152],"considerable":[123],"reduction":[124,201],"at":[128],"centres.":[130],"uses":[133],"Dwarf":[134],"Mongoose":[135],"Optimization":[136],"Algorithm":[137],"(DMOA)":[138],"produce":[140],"an":[141,188,193,199,211,226],"optimal":[142],"solution":[143],"increase":[148],"its":[149],"performance":[150],"with":[151,174,187],"real-world":[153],"dataset":[154],"from":[155],"IESO":[156],"Ontario,":[158],"Canada.":[159],"75%":[160],"available":[163],"was":[165],"used":[166],"training":[168],"assure":[170],"model\u2019s":[172],"precision,":[173],"remaining":[176],"25%":[177],"allocated":[178],"testing":[180],"purposes.":[181],"forecasts":[184],"prices":[186],"MAE":[189],"2.22%":[191],"MSE":[194],"6.33%,":[196],"resulting":[197],"average":[200],"22.21%":[203],"expenses.":[206],"Our":[207],"proposed":[208],"method":[209],"accuracy":[212,227],"97%":[214],"compared":[215],"11":[217],"benchmark":[218],"algorithms,":[219],"including":[220],"CNN,":[221],"DenseNet,":[222],"SVM":[224],"having":[225],"89%,":[229],"88%,":[230],"82%,":[232],"respectively.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
