{"id":"https://openalex.org/W2553776955","doi":"https://doi.org/10.1109/ijcnn.2016.7727854","title":"Neural network-based load forecasting and error implication for short-term horizon","display_name":"Neural network-based load forecasting and error implication for short-term horizon","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2553776955","doi":"https://doi.org/10.1109/ijcnn.2016.7727854","mag":"2553776955"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5051655772","display_name":"Swasti R. Khuntia","orcid":"https://orcid.org/0000-0002-5060-0608"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"S. R. Khuntia","raw_affiliation_strings":["Department of Electrical Sustainable Energy, Delft University of Technology, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Sustainable Energy, Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056386814","display_name":"Jos\u00e9 L. Rueda","orcid":"https://orcid.org/0000-0001-7288-0228"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. L. Rueda","raw_affiliation_strings":["Department of Electrical Sustainable Energy, Delft University of Technology, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Sustainable Energy, Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076337822","display_name":"Mart A. M. M. van der Meijden","orcid":"https://orcid.org/0000-0003-3582-4520"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]},{"id":"https://openalex.org/I4210121667","display_name":"Tennet (Netherlands)","ror":"https://ror.org/02dyts510","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210121667"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M. A. M. M. van der Meijden","raw_affiliation_strings":["Department of Electrical Sustainable Energy, Delft University of Technology","TenneT TS0 B.V., Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Sustainable Energy, Delft University of Technology","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"TenneT TS0 B.V., Netherlands","institution_ids":["https://openalex.org/I4210121667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051655772"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.5513,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.71956553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4970","last_page":"4975"},"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/T10424","display_name":"Electric Power System Optimization","score":0.991100013256073,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7524549961090088},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6500881314277649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465985774993896},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6440812349319458},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.5699928998947144},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5022976398468018},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.493368536233902},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.44147616624832153},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.43778571486473083},{"id":"https://openalex.org/keywords/economic-forecasting","display_name":"Economic forecasting","score":0.43037131428718567},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3754732012748718},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3605268895626068},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3387300968170166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2095077633857727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.197109192609787},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10193488001823425},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08589768409729004}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7524549961090088},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6500881314277649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465985774993896},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6440812349319458},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.5699928998947144},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5022976398468018},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.493368536233902},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.44147616624832153},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.43778571486473083},{"id":"https://openalex.org/C163068380","wikidata":"https://www.wikidata.org/wiki/Q3409313","display_name":"Economic forecasting","level":2,"score":0.43037131428718567},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3754732012748718},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3605268895626068},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3387300968170166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2095077633857727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.197109192609787},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10193488001823425},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08589768409729004},{"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:b90c2f99-6113-4422-a796-aa7e2ac6224c","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:b90c2f99-6113-4422-a796-aa7e2ac6224c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W417143071","https://openalex.org/W1503398984","https://openalex.org/W1788579129","https://openalex.org/W2008404566","https://openalex.org/W2016622949","https://openalex.org/W2017561014","https://openalex.org/W2055058413","https://openalex.org/W2064856266","https://openalex.org/W2067576900","https://openalex.org/W2075492674","https://openalex.org/W2111750523","https://openalex.org/W2123792095","https://openalex.org/W2146588145","https://openalex.org/W2151767444","https://openalex.org/W2158161939","https://openalex.org/W2169548144","https://openalex.org/W2322952724","https://openalex.org/W4293860495","https://openalex.org/W6638326684","https://openalex.org/W6664353944"],"related_works":["https://openalex.org/W2296521892","https://openalex.org/W2036352780","https://openalex.org/W3125745298","https://openalex.org/W2126638593","https://openalex.org/W2171746926","https://openalex.org/W3005791369","https://openalex.org/W2811365567","https://openalex.org/W2087698408","https://openalex.org/W2167999005","https://openalex.org/W2082758946"],"abstract_inverted_index":{"Load":[0],"forecasting":[1,89,113],"is":[2,23,44,70,115,127],"considered":[3],"vital":[4],"along":[5],"with":[6,28,36],"many":[7],"other":[8],"important":[9],"entities":[10],"required":[11],"for":[12,91],"assessing":[13],"the":[14,20,37,55,76,105,121,125],"reliability":[15],"of":[16,54,72,112],"power":[17],"system.":[18],"Thus,":[19],"primary":[21],"concern":[22],"not":[24],"to":[25,33,48,98,129],"forecast":[26,34,42,62],"load":[27,35,41,50,80,88,126],"a":[29,85,99,109],"novel":[30],"model,":[31],"rather":[32],"highest":[38],"accuracy.":[39],"Short-term":[40],"accuracy":[43],"often":[45],"hindered":[46],"due":[47],"various":[49],"impacting":[51,57],"factors.":[52],"Two":[53],"major":[56],"factors":[58],"are":[59],"day-ahead":[60],"weather":[61],"and":[63],"subsequent":[64],"variation":[65],"in":[66,78],"electricity":[67],"demand":[68],"that":[69],"independent":[71,101],"weather.":[73],"To":[74],"tackle":[75],"uncertainty":[77],"short-term":[79,92],"forecasting,":[81],"this":[82],"paper":[83],"presents":[84],"neural":[86],"network-based":[87],"technique":[90],"horizon":[93],"based":[94],"on":[95],"data":[96],"corresponding":[97],"U.S.":[100],"system":[102],"operator.":[103],"With":[104],"real":[106],"life":[107],"data,":[108],"better":[110],"understanding":[111],"error":[114],"carried":[116],"out":[117],"while":[118],"further":[119],"identifying":[120],"time":[122],"periods":[123],"when":[124],"supposedly":[128],"be":[130],"over-":[131],"or":[132],"under-forecast.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}