{"id":"https://openalex.org/W2905012772","doi":"https://doi.org/10.1109/isgteurope.2018.8571524","title":"Load Forecasting in Distribution Grids with High Renewable Energy Penetration for Predictive Energy Management Systems","display_name":"Load Forecasting in Distribution Grids with High Renewable Energy Penetration for Predictive Energy Management Systems","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2905012772","doi":"https://doi.org/10.1109/isgteurope.2018.8571524","mag":"2905012772"},"language":"en","primary_location":{"id":"doi:10.1109/isgteurope.2018.8571524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2018.8571524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","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/A5025617127","display_name":"Patrick S. Sauter","orcid":"https://orcid.org/0000-0003-2554-1316"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick S. Sauter","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008076580","display_name":"Philipp Karg","orcid":"https://orcid.org/0000-0003-3284-303X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Karg","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008774086","display_name":"Mathias Kluwe","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Kluwe","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040502908","display_name":"S\u00f6ren Hohmann","orcid":"https://orcid.org/0000-0002-4170-1431"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Soren Hohmann","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2619,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59688593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T10603","display_name":"Smart Grid Energy Management","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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9940999746322632,"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/renewable-energy","display_name":"Renewable energy","score":0.7160757184028625},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6847057938575745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407240629196167},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5641036033630371},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.48962146043777466},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.485260933637619},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4313097894191742},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.37552666664123535},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.37214305996894836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35412460565567017},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2645060420036316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22550207376480103},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21530389785766602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2139776051044464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17364096641540527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12514740228652954}],"concepts":[{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.7160757184028625},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6847057938575745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407240629196167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5641036033630371},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.48962146043777466},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.485260933637619},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4313097894191742},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.37552666664123535},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.37214305996894836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35412460565567017},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2645060420036316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22550207376480103},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21530389785766602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2139776051044464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17364096641540527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12514740228652954},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgteurope.2018.8571524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2018.8571524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1863264733","https://openalex.org/W1977544721","https://openalex.org/W1979683999","https://openalex.org/W1985871303","https://openalex.org/W1990875890","https://openalex.org/W2024956408","https://openalex.org/W2026804511","https://openalex.org/W2050268043","https://openalex.org/W2056114557","https://openalex.org/W2062901109","https://openalex.org/W2077228827","https://openalex.org/W2102836090","https://openalex.org/W2103504194","https://openalex.org/W2145732764","https://openalex.org/W2168138569","https://openalex.org/W2278023433","https://openalex.org/W2557375532","https://openalex.org/W2574421942","https://openalex.org/W2784366619","https://openalex.org/W6747572316"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W2101188133","https://openalex.org/W3202234113","https://openalex.org/W4248731570","https://openalex.org/W2381210024","https://openalex.org/W2384015130","https://openalex.org/W2094121346","https://openalex.org/W4285595274","https://openalex.org/W2146787633","https://openalex.org/W1583479171"],"abstract_inverted_index":{"In":[0,97],"this":[1,127],"paper":[2],"we":[3],"present":[4],"a":[5,38,89,141,146],"new":[6,78],"approach":[7],"for":[8,92,111],"load":[9,124],"forecasting":[10],"in":[11,85],"distribution":[12],"grids":[13],"with":[14],"high":[15,90],"renewable":[16,119],"energy":[17,33,120],"penetration.":[18],"The":[19,59],"method":[20,79,130],"is":[21,102],"based":[22,144],"on":[23,31,122,145],"multiple":[24],"neural":[25,109],"networks":[26,110],"and":[27],"the":[28,67,77,93,108,112,116,123,129,132],"application":[29],"focuses":[30],"predictive":[32,40],"management":[34],"systems":[35],"which":[36],"use":[37],"model":[39,143],"control":[41,45],"(MPC)":[42],"approach.":[43],"These":[44],"algorithms":[46],"need":[47],"predictions":[48],"of":[49,107,114,118],"demand":[50],"profiles":[51],"from":[52],"15":[53],"minutes":[54],"up":[55,135],"to":[56,87,136,140],"several":[57],"days.":[58],"short-term":[60],"forecast":[61,100],"values":[62,70],"are":[63],"more":[64],"important":[65],"than":[66],"long-term":[68],"prediction":[69,95],"beyond":[71],"six":[72],"or":[73],"24":[74],"hours.":[75],"Thus,":[76],"takes":[80],"instantaneous":[81],"measurements":[82],"into":[83],"account":[84],"order":[86],"provide":[88],"accuracy":[91],"first":[94],"values.":[96],"addition,":[98],"weather":[99],"data":[101],"included":[103],"as":[104],"input":[105],"variables":[106],"purpose":[113],"mapping":[115],"influence":[117],"generation":[121],"profiles.":[125],"With":[126],"approach,":[128],"improves":[131],"Root-Mean-Squared":[133],"Error":[134],"80":[137],"%":[138],"compared":[139],"reference":[142],"weekly":[147],"persistence.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
