{"id":"https://openalex.org/W7152401287","doi":"https://doi.org/10.1109/icecet63943.2025.11472519","title":"iTBG-Net: Enhancing Short-Term Renewable Energy Forecasting with Incremental Deep Learning","display_name":"iTBG-Net: Enhancing Short-Term Renewable Energy Forecasting with Incremental Deep Learning","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152401287","doi":"https://doi.org/10.1109/icecet63943.2025.11472519"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11472519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5100758027","display_name":"Aftab Hussain","orcid":"https://orcid.org/0000-0001-5704-9401"},"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"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Aftab Hussain","raw_affiliation_strings":["Institute of Pervasive Computing Johannes Kepler University,Linz,Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Pervasive Computing Johannes Kepler University,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089575499","display_name":"Alois Ferscha","orcid":"https://orcid.org/0009-0000-7861-3497"},"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"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alois Ferscha","raw_affiliation_strings":["Institute of Pervasive Computing Johannes Kepler University,Linz,Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Pervasive Computing Johannes Kepler University,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100758027"],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66423124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.7394999861717224,"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":0.7394999861717224,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.03739999979734421,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.031199999153614044,"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/deep-learning","display_name":"Deep learning","score":0.6087999939918518},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4203000068664551},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.3928999900817871},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3379000127315521},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.29840001463890076},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.289000004529953}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6087999939918518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144000053405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47350001335144043},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29840001463890076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28949999809265137},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.26510000228881836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11472519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8329624533653259,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2160512933","https://openalex.org/W2543643230","https://openalex.org/W2560647685","https://openalex.org/W2592453717","https://openalex.org/W2804919585","https://openalex.org/W2960560113","https://openalex.org/W3009377873","https://openalex.org/W3011141191","https://openalex.org/W3024158773","https://openalex.org/W3112406413","https://openalex.org/W3125205151","https://openalex.org/W3172328058","https://openalex.org/W3200930717","https://openalex.org/W4214601920","https://openalex.org/W4224220763","https://openalex.org/W4282830197","https://openalex.org/W4310378748","https://openalex.org/W4312787633","https://openalex.org/W4321458190","https://openalex.org/W4377107734","https://openalex.org/W4383109121","https://openalex.org/W4384156620","https://openalex.org/W4402027572","https://openalex.org/W4403726773"],"related_works":[],"abstract_inverted_index":{"Intelligent":[0],"microgrids":[1],"rely":[2],"on":[3,75,130,220],"state-of-the-art":[4],"time":[5,126],"series":[6],"forecasting":[7,209],"strategies,":[8],"such":[9,56],"as":[10,57,187,189],"Machine":[11],"Learning":[12,15],"(ML),":[13],"Deep":[14],"(DL),":[16],"and":[17,26,29,41,70,102,107,151,172,181,195],"attention-based":[18],"models,":[19],"to":[20,54,154,158,207],"predict":[21],"energy":[22,51],"prices,":[23],"demand":[24],"responses,":[25],"short-,":[27],"medium-,":[28],"long-term":[30],"loads.":[31],"These":[32,111],"models":[33,95,112],"take":[34],"into":[35],"account":[36],"trends,":[37],"seasonality,":[38],"cyclic":[39],"patterns,":[40],"noise,":[42],"which":[43,142],"face":[44],"challenges":[45],"when":[46],"dealing":[47],"with":[48],"smart":[49],"grid":[50],"data":[52,100,123],"due":[53],"factors":[55],"real-time":[58,97],"variability":[59],"(customer":[60],"consumption":[61],"behaviour),":[62],"high-frequency":[63,115],"sampling":[64,116],"(collected":[65],"in":[66,72,124,211],"seconds":[67],"or":[68],"minutes),":[69],"intermittency":[71],"renewables":[73],"(dependence":[74],"weather":[76],"patterns).":[77],"To":[78],"make":[79,155],"a":[80,144,176,182,190,196,204],"significant":[81],"i":[82,90],"mpact":[83],"o":[84,92],"n":[85],"t":[86],"his":[87],"s":[88],"ituation,":[89],"ncremental":[91],"nline":[93],"learning":[94,118],"incorporate":[96],"adaptability":[98],"from":[99,119],"fluctuations":[101],"dynamics":[103],"while":[104],"simultaneously":[105],"retaining":[106],"adopting":[108],"new":[109],"knowledge.":[110],"also":[113],"handle":[114],"by":[117],"small":[120],"streams":[121],"of":[122,179,185,193,199],"real":[125],"rather":[127],"than":[128],"relying":[129],"batch-based":[131],"learning.":[132],"This":[133,201],"article":[134],"introduces":[135],"the":[136,166],"Incremental":[137],"Temporal":[138,145],"BiGRU":[139],"Network":[140,147],"(iTBG-Net),":[141],"combines":[143],"Convolutional":[146],"(TCN),":[148],"Bidirectional":[149],"GRUs,":[150],"replay":[152],"buffers":[153],"it":[156,203],"easier":[157],"retrieve":[159],"previous":[160],"information.":[161],"Our":[162,215],"proposed":[163],"model":[164],"outperforms":[165],"benchmark":[167],"models:":[168],"incremental":[169],"CNN,":[170],"LSTM,":[171],"XLSTM.":[173],"We":[174],"achieved":[175],"training":[177,191],"loss":[178,184],"0.0066":[180],"validation":[183,197],"0.0190,":[186],"well":[188],"accuracy":[192,198,210],"0.8128":[194],"0.8005.":[200],"makes":[202],"powerful":[205],"tool":[206],"improve":[208],"rapidly":[212],"changing":[213],"environments.":[214],"open-source":[216],"code":[217],"is":[218],"available":[219],"GitHub:":[221],"(https://github.com/Aftab-Hussain302/iTBG-Net-oneline-Energy_forecasting.git).":[222]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}
