{"id":"https://openalex.org/W4386524269","doi":"https://doi.org/10.1109/jsyst.2023.3310548","title":"Short-Term Load Forecasting Reliability in Power Plant of Cyber-Physical Energy System Considering Adaptive Denoising","display_name":"Short-Term Load Forecasting Reliability in Power Plant of Cyber-Physical Energy System Considering Adaptive Denoising","publication_year":2023,"publication_date":"2023-09-07","ids":{"openalex":"https://openalex.org/W4386524269","doi":"https://doi.org/10.1109/jsyst.2023.3310548"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2023.3310548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2023.3310548","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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 Systems Journal","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/A5074634640","display_name":"Dong Ding","orcid":"https://orcid.org/0000-0001-5176-2046"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Ding","raw_affiliation_strings":["School of Electrical Engineering, Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046113804","display_name":"Junhuai Li","orcid":"https://orcid.org/0000-0001-5483-5175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junhuai Li","raw_affiliation_strings":["School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069263111","display_name":"Huaijun Wang","orcid":"https://orcid.org/0000-0002-2933-6566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huaijun Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403727","display_name":"Kan Wang","orcid":"https://orcid.org/0000-0003-3500-1073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074634640"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":1.4727,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82246076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"4","first_page":"5183","last_page":"5194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7333729267120361},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6470887660980225},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6022665500640869},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5497900247573853},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5232997536659241},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.514721691608429},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4868437647819519},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4653279185295105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44224292039871216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43168339133262634},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.41336801648139954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.341076523065567},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.33728623390197754},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.331464558839798},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3014422059059143},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18159672617912292},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.11694389581680298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333729267120361},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6470887660980225},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6022665500640869},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5497900247573853},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5232997536659241},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.514721691608429},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4868437647819519},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4653279185295105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44224292039871216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43168339133262634},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.41336801648139954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.341076523065567},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.33728623390197754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.331464558839798},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3014422059059143},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18159672617912292},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.11694389581680298},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2023.3310548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2023.3310548","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G29569701","display_name":null,"funder_award_id":"61801379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W417143071","https://openalex.org/W1977681944","https://openalex.org/W2005747371","https://openalex.org/W2023645751","https://openalex.org/W2036415539","https://openalex.org/W2044186388","https://openalex.org/W2133720763","https://openalex.org/W2156636680","https://openalex.org/W2275088575","https://openalex.org/W2292129691","https://openalex.org/W2344657522","https://openalex.org/W2604099671","https://openalex.org/W2691864041","https://openalex.org/W2742473260","https://openalex.org/W2754252319","https://openalex.org/W2909670596","https://openalex.org/W2945457067","https://openalex.org/W2954413670","https://openalex.org/W2999807795","https://openalex.org/W3000399655","https://openalex.org/W3008827082","https://openalex.org/W3014191625","https://openalex.org/W3014618931","https://openalex.org/W3080724736","https://openalex.org/W3092483557","https://openalex.org/W3106712873","https://openalex.org/W3109328968","https://openalex.org/W3112644111","https://openalex.org/W3121826667","https://openalex.org/W3139255054","https://openalex.org/W3182952669","https://openalex.org/W3209150160","https://openalex.org/W4214632698","https://openalex.org/W4226317273","https://openalex.org/W4282980803","https://openalex.org/W4285297243","https://openalex.org/W4287887911","https://openalex.org/W4293195883","https://openalex.org/W4296312576","https://openalex.org/W4366958769","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W3000097931","https://openalex.org/W2380939102","https://openalex.org/W2354322770","https://openalex.org/W154554909","https://openalex.org/W2072581623"],"abstract_inverted_index":{"Cyber-physical":[0],"energy":[1],"systems":[2],"(CPES)":[3],"are":[4],"a":[5,17,83,92,100,143,195],"crucial":[6],"component":[7],"of":[8,20,42,78,201],"smart":[9],"grids":[10],"(SGs),":[11],"and":[12,30,99,119,139,153,157,204],"as":[13],"such,":[14],"they":[15],"represent":[16],"specialized":[18],"subset":[19],"cyber-physical":[21],"systems.":[22],"CPES":[23],"provides":[24],"essential":[25],"services":[26],"for":[27,169,176],"pricing":[28],"decisions":[29],"automatic":[31],"generation":[32],"control":[33],"through":[34],"short-term":[35,106],"load":[36,71,134,163],"forecasting":[37,72,171,192],"(STLF),":[38],"making":[39],"the":[40,52,76,189],"accuracy":[41,77],"STLF":[43],"critical":[44],"to":[45,51,64,130,150,172,182],"optimizing":[46],"their":[47],"operation.":[48],"However,":[49],"due":[50],"numerous":[53],"communication":[54],"devices":[55],"installed":[56],"within":[57],"CPES,":[58],"data":[59],"collection":[60],"is":[61,128,146,167],"often":[62],"subject":[63],"various":[65],"factors":[66],"that":[67,86,114],"could":[68],"negatively":[69],"impact":[70],"accuracy.":[73],"To":[74],"improve":[75],"STLF,":[79],"this":[80],"article":[81],"proposes":[82],"reliable":[84],"method":[85],"combines":[87,115],"an":[88,111],"adaptive":[89,112,126],"denoising":[90],"technique,":[91],"2-D":[93],"deep":[94],"temporal":[95,159],"convolutional":[96],"network":[97],"(TDeepTCN),":[98],"multidimensional":[101,177],"input":[102],"structure":[103],"bidirectional":[104],"long":[105],"memory-attention":[107],"(MBiLSTM-attention)":[108],"network.":[109],"First,":[110],"approach":[113],"Pearson":[116],"correlation":[117],"coefficient":[118],"complete":[120],"ensemble":[121],"empirical":[122],"mode":[123],"decomposition":[124],"with":[125,194],"noise":[127,138],"utilized":[129],"effectively":[131],"identify":[132],"raw":[133],"series":[135],"contaminated":[136],"by":[137],"reconstruct":[140],"them.":[141],"Then,":[142],"TDeepTCN":[144],"model":[145,187],"constructed":[147],"using":[148],"TCN":[149],"simultaneously":[151],"capture":[152],"fuse":[154],"both":[155,208],"local":[156],"long-term":[158],"features":[160],"from":[161],"multiple":[162],"series.":[164],"Finally,":[165],"MBiLSTM-attention":[166],"employed":[168],"accurate":[170,191],"achieve":[173],"feature":[174],"processing":[175],"depth":[178],"features.":[179],"Eventually,":[180],"compared":[181],"existing":[183],"models,":[184],"our":[185],"proposed":[186],"achieves":[188],"most":[190],"results":[193],"mean":[196],"absolute":[197],"percentage":[198],"error":[199],"rate":[200],"only":[202],"3.98%":[203],"4.12%,":[205],"respectively,":[206],"in":[207],"regions.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
