{"id":"https://openalex.org/W7139047141","doi":"https://doi.org/10.1186/s13677-026-00859-9","title":"Distributed carbon emission prediction in edge environment considering spatial-temporal context factors","display_name":"Distributed carbon emission prediction in edge environment considering spatial-temporal context factors","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139047141","doi":"https://doi.org/10.1186/s13677-026-00859-9"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-026-00859-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00859-9","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13677-026-00859-9.pdf","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s13677-026-00859-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079171932","display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0001-6390-8866"},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Economics and Management, Weifang University, Weifang, 261061, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Weifang University, Weifang, 261061, China","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004554755","display_name":"Mohammad Jafar Mokarram","orcid":"https://orcid.org/0000-0002-1628-9203"},"institutions":[{"id":"https://openalex.org/I204490172","display_name":"Shiraz University of Technology","ror":"https://ror.org/04bxa3v83","country_code":"IR","type":"education","lineage":["https://openalex.org/I204490172"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Jafar Mokarram","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, 71555-313, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, 71555-313, Iran","institution_ids":["https://openalex.org/I204490172"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004554755"],"corresponding_institution_ids":["https://openalex.org/I204490172"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91258326,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.13940000534057617,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.13940000534057617,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.125,"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/T12238","display_name":"Green IT and Sustainability","score":0.04560000076889992,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.707099974155426},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6722000241279602},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5855000019073486},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.40049999952316284},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36809998750686646},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.36730000376701355},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.3626999855041504}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.707099974155426},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6722000241279602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477000117301941},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5855000019073486},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41110000014305115},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.32989999651908875},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C140205800","wikidata":"https://www.wikidata.org/wiki/Q5860","display_name":"Carbon fibers","level":3,"score":0.30070000886917114},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-026-00859-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00859-9","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13677-026-00859-9.pdf","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c50c5cbe4944389a2b0d6c9897c560c","is_oa":true,"landing_page_url":"https://doaj.org/article/5c50c5cbe4944389a2b0d6c9897c560c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 15, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-026-00859-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00859-9","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13677-026-00859-9.pdf","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7139047141.pdf","grobid_xml":"https://content.openalex.org/works/W7139047141.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2058401212","https://openalex.org/W2342658046","https://openalex.org/W2416799949","https://openalex.org/W2530869753","https://openalex.org/W2739883206","https://openalex.org/W2900510321","https://openalex.org/W2906159207","https://openalex.org/W2982661369","https://openalex.org/W3081139132","https://openalex.org/W4220718716","https://openalex.org/W4226225553","https://openalex.org/W4285272834","https://openalex.org/W4386280890","https://openalex.org/W4386422321","https://openalex.org/W4386920561","https://openalex.org/W4389992024","https://openalex.org/W4401942923","https://openalex.org/W4401979963","https://openalex.org/W4402435448","https://openalex.org/W4402495296","https://openalex.org/W4403294788","https://openalex.org/W4405022380","https://openalex.org/W4405022412","https://openalex.org/W4408100297","https://openalex.org/W4408100317","https://openalex.org/W4412540127","https://openalex.org/W4415157126","https://openalex.org/W4415366841"],"related_works":[],"abstract_inverted_index":{"The":[0],"increasing":[1],"demand":[2],"for":[3,16,61,152],"real-time":[4,153],"carbon":[5,80,133,154],"emission":[6,37,81,155],"monitoring":[7,160],"in":[8,34,39,83,130,139,161],"distributed":[9,77,162],"edge":[10,84,113],"environments":[11],"has":[12],"highlighted":[13],"the":[14,59,122,127],"need":[15,60],"accurate":[17],"prediction":[18,29,82,111,156],"models":[19,30],"that":[20,108],"consider":[21],"spatial":[22],"and":[23,50,93,124,157],"temporal":[24],"context":[25,88],"factors.":[26],"Traditional":[27],"centralized":[28,144],"face":[31],"significant":[32,137],"challenges":[33,54],"processing":[35],"large-scale":[36],"data":[38,46],"real-time,":[40],"especially":[41],"when":[42,64],"dealing":[43],"with":[44,135],"fluctuating":[45],"from":[47],"diverse":[48],"locations":[49],"time":[51,94],"intervals.":[52],"These":[53],"are":[55],"further":[56],"compounded":[57],"by":[58],"privacy":[62],"protection":[63],"handling":[65],"sensitive":[66],"environmental":[67,159],"data.":[68],"To":[69],"address":[70],"these":[71],"issues,":[72],"this":[73],"paper":[74],"presents":[75],"a":[76,105,136,149],"approach":[78],"to":[79,143],"environments,":[85],"incorporating":[86],"spatial-temporal":[87],"factors":[89],"such":[90],"as":[91],"location":[92],"of":[95,126],"day.":[96],"By":[97],"leveraging":[98],"locality-sensitive":[99],"hashing":[100],"(LSH)":[101],"techniques,":[102],"we":[103],"propose":[104],"privacy-preserving":[106,158],"model":[107],"enables":[109],"efficient":[110],"across":[112],"nodes":[114],"while":[115],"maintaining":[116],"user":[117],"privacy.":[118],"Experimental":[119],"results":[120],"demonstrate":[121],"feasibility":[123],"effectiveness":[125],"proposed":[128],"method":[129],"accurately":[131],"predicting":[132],"emissions,":[134],"reduction":[138],"computational":[140],"overhead":[141],"compared":[142],"models.":[145],"This":[146],"work":[147],"provides":[148],"practical":[150],"solution":[151],"systems.":[163]},"counts_by_year":[],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2026-03-20T00:00:00"}