{"id":"https://openalex.org/W2387670596","doi":"https://doi.org/10.1145/2903220.2903222","title":"Short-Term Load Forecasting using a Cluster of Neural Networks for the Greek Energy Market","display_name":"Short-Term Load Forecasting using a Cluster of Neural Networks for the Greek Energy Market","publication_year":2016,"publication_date":"2016-05-11","ids":{"openalex":"https://openalex.org/W2387670596","doi":"https://doi.org/10.1145/2903220.2903222","mag":"2387670596"},"language":"en","primary_location":{"id":"doi:10.1145/2903220.2903222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2903220.2903222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013773267","display_name":"Apostolos N. Adamakos","orcid":null},"institutions":[{"id":"https://openalex.org/I135277319","display_name":"Public Power Corporation (Greece)","ror":"https://ror.org/04zc3wd06","country_code":"GR","type":"company","lineage":["https://openalex.org/I135277319"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Apostolos N. Adamakos","raw_affiliation_strings":["Electrical & Computer Engineer, Public Power Corporation, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineer, Public Power Corporation, Greece","institution_ids":["https://openalex.org/I135277319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017255421","display_name":"Michalis K. Titsias","orcid":"https://orcid.org/0000-0002-7603-0105"},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Michalis K. Titsias","raw_affiliation_strings":["Department of Informatics, Athens University of Economics and Business, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Athens University of Economics and Business, Greece","institution_ids":["https://openalex.org/I73142707"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9973999857902527,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7141590714454651},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6957060098648071},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6803157329559326},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6207066774368286},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4791502356529236},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.47370144724845886},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4622037410736084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38075220584869385},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3746863603591919},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3309277892112732},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21027162671089172},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09622898697853088},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08021596074104309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141590714454651},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6957060098648071},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6803157329559326},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6207066774368286},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4791502356529236},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.47370144724845886},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4622037410736084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38075220584869385},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3746863603591919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3309277892112732},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21027162671089172},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09622898697853088},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08021596074104309},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2903220.2903222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2903220.2903222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1899402344","https://openalex.org/W2107025615","https://openalex.org/W2111478371","https://openalex.org/W2122258997","https://openalex.org/W2137108644","https://openalex.org/W2146097858"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"In":[0],"the":[1,4,7,38,61,82,101],"context":[2],"of":[3,6,44,81],"liberalization":[5],"Greek":[8,62],"Energy":[9],"Market,":[10],"load":[11,21,57],"forecasting":[12,22,58],"is":[13,35,49],"essential":[14],"in":[15,30,42],"various":[16],"system":[17,65],"programming":[18],"procedures.":[19],"Short-term":[20],"extends":[23],"from":[24],"one":[25],"to":[26,50,72],"seven":[27],"days,":[28],"although":[29],"this":[31],"paper":[32],"a":[33,54,79,87],"model":[34,59,77],"proposed":[36,76],"for":[37,60,92,104],"next":[39],"calendar":[40],"day":[41],"step":[43],"sixty":[45],"minutes.":[46],"The":[47,75],"objective":[48],"design":[51],"and":[52],"implement":[53],"software-based":[55],"short-term":[56],"interconnected":[63],"transmission":[64],"that":[66],"will":[67],"show":[68],"improved":[69],"performance":[70],"compared":[71],"previous":[73],"methods.":[74],"introduces":[78],"categorization":[80],"forecasted":[83],"days":[84],"along":[85],"with":[86],"dedicated":[88],"artificial":[89],"neural":[90],"network":[91],"each":[93,105],"category.":[94],"Appropriate":[95],"input":[96],"vectors":[97],"are":[98],"selected":[99],"at":[100],"training":[102],"process":[103],"custom-built":[106],"network.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}