{"id":"https://openalex.org/W4389777285","doi":"https://doi.org/10.1109/iisa59645.2023.10345931","title":"Explainability Analysis of Weather Variables in Short- Term Load Forecasting","display_name":"Explainability Analysis of Weather Variables in Short- Term Load Forecasting","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4389777285","doi":"https://doi.org/10.1109/iisa59645.2023.10345931"},"language":"en","primary_location":{"id":"doi:10.1109/iisa59645.2023.10345931","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iisa59645.2023.10345931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-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/A5056093634","display_name":"Dimitrios Kontogiannis","orcid":"https://orcid.org/0000-0001-7452-4083"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Dimitrios Kontogiannis","raw_affiliation_strings":["University of Thessaly,Department of Electrical and Computer Engineering,Volos,Greece","Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly,Department of Electrical and Computer Engineering,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017449784","display_name":"Dimitrios Bargiotas","orcid":"https://orcid.org/0000-0001-8285-8972"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Bargiotas","raw_affiliation_strings":["University of Thessaly,Department of Electrical and Computer Engineering,Volos,Greece","Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly,Department of Electrical and Computer Engineering,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010445346","display_name":"Aspassia Daskalopulu","orcid":"https://orcid.org/0000-0003-1051-6302"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aspassia Daskalopulu","raw_affiliation_strings":["University of Thessaly,Department of Electrical and Computer Engineering,Volos,Greece","Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly,Department of Electrical and Computer Engineering,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076719857","display_name":"Lefteri H. Tsoukalas","orcid":"https://orcid.org/0000-0002-6718-1163"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lefteri H. Tsoukalas","raw_affiliation_strings":["Purdue University,Center for Intelligent Energy Systems,West Lafayette,USA","Center for Intelligent Energy Systems, Purdue University, West Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University,Center for Intelligent Energy Systems,West Lafayette,USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Center for Intelligent Energy Systems, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056093634"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":0.1339,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47302686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9804999828338623,"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":0.9804999828338623,"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/T14406","display_name":"Multidisciplinary Science and Engineering Research","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/feature-selection","display_name":"Feature selection","score":0.6494387984275818},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6220611929893494},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5932705402374268},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5842947959899902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5725624561309814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5625567436218262},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5404250621795654},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5358271598815918},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.500190258026123},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.4572063088417053},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44788429141044617},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4051540493965149},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3442942500114441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33377379179000854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28842484951019287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2691923677921295}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6494387984275818},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6220611929893494},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5932705402374268},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5842947959899902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5725624561309814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5625567436218262},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5404250621795654},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5358271598815918},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.500190258026123},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.4572063088417053},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44788429141044617},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4051540493965149},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3442942500114441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33377379179000854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28842484951019287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2691923677921295},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa59645.2023.10345931","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iisa59645.2023.10345931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1575534664","https://openalex.org/W2009927598","https://openalex.org/W2016023958","https://openalex.org/W2052959184","https://openalex.org/W2101234009","https://openalex.org/W2165627882","https://openalex.org/W2614689352","https://openalex.org/W2768348081","https://openalex.org/W2898227265","https://openalex.org/W2976443662","https://openalex.org/W2978631110","https://openalex.org/W2999615587","https://openalex.org/W3032423120","https://openalex.org/W3033727193","https://openalex.org/W3085696033","https://openalex.org/W3094105990","https://openalex.org/W3122860865","https://openalex.org/W3127908447","https://openalex.org/W4200329183","https://openalex.org/W4206273745","https://openalex.org/W4226017353","https://openalex.org/W4282926955","https://openalex.org/W4283204591","https://openalex.org/W4283802727","https://openalex.org/W4285819087","https://openalex.org/W4303627897","https://openalex.org/W4306760875","https://openalex.org/W4308125644","https://openalex.org/W4309181903","https://openalex.org/W4377704659","https://openalex.org/W6675354045","https://openalex.org/W6737947904","https://openalex.org/W6745609711","https://openalex.org/W6755712434"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386"],"abstract_inverted_index":{"Short-term":[0],"load":[1,27,138,158,169],"forecasting":[2,63,139],"tasks":[3],"utilize":[4,142],"a":[5],"plethora":[6],"of":[7,26,33,40,48,62,68,78,87,95,102,109,127,135,148,157,198,208,216,230,245],"weather":[8,128],"sequences":[9,144],"in":[10,82,206],"order":[11],"to":[12,118],"study":[13],"meaningful":[14],"features":[15,51,71],"that":[16,45,141,152],"describe":[17],"complex":[18],"relationships":[19],"between":[20,92],"environmental":[21,143],"parameters":[22],"and":[23,56,99,130,167,178,192,202,232,238],"the":[24,31,37,46,53,58,69,76,79,85,90,93,96,100,107,110,125,132,146,154,164,196,222,228,239],"variable":[25,98],"as":[28,30,104,106,161,163],"well":[29,105,162],"occurrence":[32],"impactful":[34],"events,":[35],"reinforcing":[36],"predictive":[38,88],"power":[39],"estimators.":[41],"It":[42],"is":[43],"evident":[44],"inclusion":[47,235],"those":[49],"additional":[50],"increases":[52],"input":[54],"dimensions":[55],"decreases":[57],"overall":[59],"explain":[60,133],"ability":[61,134],"models":[64,83],"since":[65],"not":[66],"all":[67],"extracted":[70],"are":[72,113,236,248],"equally":[73],"compatible":[74],"with":[75,183],"assumptions":[77],"regressors,":[80],"resulting":[81],"where":[84],"justification":[86],"potency,":[89],"connection":[91],"variance":[94,101,156,210],"target":[97],"predictors":[103],"explanation":[108],"computational":[111],"flow":[112],"made":[114],"increasingly":[115],"difficult":[116],"due":[117],"ambiguity.":[119],"Therefore,":[120],"this":[121,246],"research":[122],"work":[123],"studies":[124],"representativeness":[126],"variables":[129],"examines":[131],"interpretable":[136],"short-term":[137],"structures":[140],"towards":[145],"selection":[147],"important":[149],"feature":[150,185,200,203,218,224],"subsets":[151],"maximize":[153],"explained":[155,209],"time":[159],"series":[160],"seasonal,":[165],"trend":[166],"residual":[168],"components":[170],"during":[171],"training.":[172],"This":[173],"project":[174],"considers":[175],"linear":[176],"regression":[177],"prominent":[179],"tree-based":[180],"estimators":[181],"coupled":[182],"model-dependent":[184],"importance":[186,225],"frameworks":[187],"utilizing":[188],"game":[189],"theoretic,":[190],"permutative":[191],"impurity-based":[193],"approaches":[194,215],"for":[195],"derivation":[197],"optimal":[199],"sets":[201],"set":[204,219],"combinations":[205],"terms":[207],"scores.":[211],"Additionally,":[212],"two":[213],"structural":[214],"explainable":[217],"generation":[220],"from":[221,242],"joint":[223],"scores":[226],"through":[227],"utilization":[229],"hierarchical":[231],"maj":[233],"ority":[234],"compared":[237],"main":[240],"observations":[241],"each":[243],"stage":[244],"analysis":[247],"discussed.":[249]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}