{"id":"https://openalex.org/W7140118365","doi":"https://doi.org/10.1016/j.procs.2026.02.079","title":"Smart Alerting: A Forecasting and Anomaly Detection System for Data-Driven Decision-Making","display_name":"Smart Alerting: A Forecasting and Anomaly Detection System for Data-Driven Decision-Making","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140118365","doi":"https://doi.org/10.1016/j.procs.2026.02.079"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.02.079","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.079","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.02.079","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077210324","display_name":"Sabrina Luftensteiner","orcid":"https://orcid.org/0000-0002-6502-4172"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]},{"id":"https://openalex.org/I4210126338","display_name":"Software Competence Center Hagenberg (Austria)","ror":"https://ror.org/02ks3nr96","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210126338"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Sabrina Luftensteiner","raw_affiliation_strings":["Johannes Kepler Universitaet Linz, Altenberger Str. 69, 4040 Linz, Austria","Software Competence Center Hagenberg, Softwarepark 32a, 4232 Hagenberg im Muehlkreis, Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler Universitaet Linz, Altenberger Str. 69, 4040 Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Software Competence Center Hagenberg, Softwarepark 32a, 4232 Hagenberg im Muehlkreis, Austria","institution_ids":["https://openalex.org/I4210126338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051698924","display_name":"Johann Schrammel","orcid":"https://orcid.org/0000-0003-1833-2575"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Johann Schrammel","raw_affiliation_strings":["Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045391216","display_name":"Lisa Diamond","orcid":"https://orcid.org/0000-0002-7050-2271"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Lisa Diamond","raw_affiliation_strings":["Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130394594","display_name":"Richard Degenfellner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110916","display_name":"Engineering Software Steyr (Austria)","ror":"https://ror.org/0175s4d43","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210110916"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Richard Degenfellner","raw_affiliation_strings":["BMW Group Werk Steyr, Hinterbergerstra\u00dfe 2, 4400 Steyr, Austria"],"affiliations":[{"raw_affiliation_string":"BMW Group Werk Steyr, Hinterbergerstra\u00dfe 2, 4400 Steyr, Austria","institution_ids":["https://openalex.org/I4210110916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077210324"],"corresponding_institution_ids":["https://openalex.org/I121883995","https://openalex.org/I4210126338"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75918321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"277","issue":null,"first_page":"376","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3109000027179718,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3109000027179718,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.07900000363588333,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.06499999761581421,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8086000084877014},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.670199990272522},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5473999977111816},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5200999975204468},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42289999127388},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.3937999904155731},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.38339999318122864},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.3725999891757965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8677999973297119},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8086000084877014},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.670199990272522},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41350001096725464},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.3490000069141388},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C200749887","wikidata":"https://www.wikidata.org/wiki/Q1165574","display_name":"System monitoring","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.02.079","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.079","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.02.079","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.079","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2153223800","https://openalex.org/W3165938138","https://openalex.org/W3208453297","https://openalex.org/W3212259294","https://openalex.org/W4206637705","https://openalex.org/W4210516747","https://openalex.org/W4220701678","https://openalex.org/W4388694114","https://openalex.org/W4391098453"],"related_works":[],"abstract_inverted_index":{"In":[0],"today\u2019s":[1],"fast-paced":[2],"and":[3,14,38,58,117,124,143,156,164,179,188,201,205,211,227],"data-intensive":[4],"environments,":[5],"organizations":[6,167,220],"require":[7],"a":[8,22,51,72,130,216],"robust":[9],"system":[10,23,32,48,91,107,147,214],"to":[11,41,62,95,99,110,136,139,171,203,221],"communicate":[12],"forecasts":[13,163],"detect":[15],"anomalies":[16,112],"in":[17,173,231],"real-time.":[18,232],"This":[19],"paper":[20],"presents":[21],"architecture":[24],"that":[25,54,77,120],"integrates":[26],"forecasting":[27,52,67,210],"models":[28],"with":[29,71],"an":[30,86,93,193],"alarm":[31,106],"for":[33,83,196,219],"anomalies,":[34],"enabling":[35],"proactive":[36],"decision-making":[37],"swift":[39],"response":[40],"deviations":[42],"from":[43,199],"expected":[44],"trends.":[45],"The":[46,66,104,145,184],"proposed":[47,146],"consists":[49],"of":[50,224],"module":[53,68],"leverages":[55],"advanced":[56],"statistical":[57],"machine":[59],"learning":[60],"techniques":[61],"generate":[63],"accurate":[64],"predictions.":[65],"is":[69,88,108],"coupled":[70],"real-time":[73,162],"data":[74,81],"processing":[75],"engine":[76],"continuously":[78],"monitors":[79],"incoming":[80],"streams":[82],"anomalies.":[84],"When":[85],"anomaly":[87,165,212],"detected,":[89],"the":[90,100,208,225],"triggers":[92],"alert":[94,102,213],"stakeholders":[96,121],"via":[97],"OPCUA":[98],"given":[101],"center.":[103],"system\u2019s":[105,185],"designed":[109],"categorize":[111],"based":[113],"on":[114,181],"their":[115,140,174],"severity":[116],"impact,":[118],"ensuring":[119],"receive":[122],"timely":[123],"relevant":[125],"notifications.":[126],"It":[127],"also":[128],"features":[129,190],"customizable":[131],"notification":[132],"framework,":[133],"allowing":[134],"users":[135],"tailor":[137],"alerts":[138],"specific":[141],"needs":[142],"preferences.":[144],"offers":[148],"several":[149],"benefits,":[150],"including":[151],"improved":[152],"decision-making,":[153],"reduced":[154],"risk,":[155],"enhanced":[157],"operational":[158],"efficiency.":[159],"By":[160],"providing":[161],"detection,":[166],"can":[168],"respond":[169],"promptly":[170],"changes":[172],"environment,":[175],"minimizing":[176],"potential":[177],"losses":[178],"capitalizing":[180],"emerging":[182],"opportunities.":[183],"modular":[186],"design":[187],"scalability":[189],"make":[191,228],"it":[192],"attractive":[194],"solution":[195],"various":[197],"industries,":[198],"finance":[200],"healthcare":[202],"manufacturing":[204],"transportation.":[206],"Overall,":[207],"intelligent":[209],"provides":[215],"powerful":[217],"tool":[218],"stay":[222],"ahead":[223],"curve":[226],"data-driven":[229],"decisions":[230]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-24T00:00:00"}