{"id":"https://openalex.org/W1965799462","doi":"https://doi.org/10.1109/afrcon.2013.6757767","title":"Efficient encoding of customer class load profiles","display_name":"Efficient encoding of customer class load profiles","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1965799462","doi":"https://doi.org/10.1109/afrcon.2013.6757767","mag":"1965799462"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2013.6757767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2013.6757767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Africon","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/A5040238184","display_name":"Sandor F. Beretka","orcid":null},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Sandor F. Beretka","raw_affiliation_strings":["Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, , Serbia"],"affiliations":[{"raw_affiliation_string":"Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, , Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045665393","display_name":"Ervin Varga","orcid":"https://orcid.org/0000-0002-3954-4078"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ervin D. Varga","raw_affiliation_strings":["Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, , Serbia"],"affiliations":[{"raw_affiliation_string":"Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, , Serbia","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040238184"],"corresponding_institution_ids":["https://openalex.org/I170726198"],"apc_list":null,"apc_paid":null,"fwci":0.4729,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66861886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9973000288009644,"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":0.9973000288009644,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9972000122070312,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7560849189758301},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6051809787750244},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.561987042427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.528892457485199},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5255547761917114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4366304874420166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4318958520889282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3591652512550354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560849189758301},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6051809787750244},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.561987042427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.528892457485199},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5255547761917114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4366304874420166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4318958520889282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3591652512550354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/afrcon.2013.6757767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2013.6757767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Africon","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1976965499","https://openalex.org/W1987795598","https://openalex.org/W2020628155","https://openalex.org/W2100495367","https://openalex.org/W2126085402","https://openalex.org/W2162641381","https://openalex.org/W2181347294","https://openalex.org/W2484638864","https://openalex.org/W6685777803","https://openalex.org/W6722530294"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W2392958391","https://openalex.org/W3155227409","https://openalex.org/W2898682874","https://openalex.org/W2386709048","https://openalex.org/W2961085424"],"abstract_inverted_index":{"The":[0,33],"majority":[1],"of":[2],"distribution":[3],"management":[4],"functionalities":[5],"rely":[6],"on":[7,19,38],"load":[8,13,28],"profiles.":[9],"Customer":[10],"classification":[11],"and":[12,44],"analysis":[14],"have":[15],"the":[16],"largest":[17],"impact":[18],"them.":[20],"In":[21],"this":[22],"paper":[23],"a":[24],"novel":[25],"approach":[26],"for":[27],"profile":[29],"generation":[30],"is":[31,36],"presented.":[32],"presented":[34],"work":[35],"based":[37],"artificial":[39],"neural":[40],"networks:":[41],"sparse":[42],"autoencoders":[43],"deep":[45],"belief":[46],"networks":[47],"in":[48],"order":[49],"to":[50],"reveal":[51],"hidden":[52],"features":[53],"from":[54],"data":[55],"sets.":[56]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
