{"id":"https://openalex.org/W4296137080","doi":"https://doi.org/10.1186/s42162-022-00214-7","title":"Boost short-term load forecasts with synthetic data from transferred latent space information","display_name":"Boost short-term load forecasts with synthetic data from transferred latent space information","publication_year":2022,"publication_date":"2022-09-07","ids":{"openalex":"https://openalex.org/W4296137080","doi":"https://doi.org/10.1186/s42162-022-00214-7"},"language":"en","primary_location":{"id":"doi:10.1186/s42162-022-00214-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-022-00214-7","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-022-00214-7","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-022-00214-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048040015","display_name":"Benedikt Heidrich","orcid":"https://orcid.org/0000-0002-1923-0848"},"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":true,"raw_author_name":"Benedikt Heidrich","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041432276","display_name":"Lisa Mannsperger","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":"Lisa Mannsperger","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035597795","display_name":"Marian Turowski","orcid":"https://orcid.org/0000-0002-3776-2215"},"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":"Marian Turowski","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047474927","display_name":"Kaleb Phipps","orcid":"https://orcid.org/0000-0002-9197-1739"},"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":"Kaleb Phipps","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040295886","display_name":"Benjamin Sch\u00e4fer","orcid":"https://orcid.org/0000-0003-1607-9748"},"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":"Benjamin Sch\u00e4fer","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001459055","display_name":"Ralf Mikut","orcid":"https://orcid.org/0000-0001-9100-5496"},"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":"Ralf Mikut","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014228448","display_name":"Veit Hagenmeyer","orcid":"https://orcid.org/0000-0002-3572-9083"},"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":"Veit Hagenmeyer","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048040015"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.3694,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57652854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"5","issue":"S1","first_page":null,"last_page":null},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9896000027656555,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.723462700843811},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5963622331619263},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5151630640029907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4628898501396179},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45770666003227234},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4370056390762329},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43051838874816895},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.42146438360214233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41399022936820984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33013999462127686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723462700843811},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5963622331619263},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5151630640029907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4628898501396179},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45770666003227234},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4370056390762329},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43051838874816895},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.42146438360214233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41399022936820984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33013999462127686},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42162-022-00214-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-022-00214-7","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-022-00214-7","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:13cb8d0746db4c64982edd78d71efac3","is_oa":true,"landing_page_url":"https://doaj.org/article/13cb8d0746db4c64982edd78d71efac3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energy Informatics, Vol 5, Iss S1, Pp 1-20 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42162-022-00214-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-022-00214-7","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-022-00214-7","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6200000047683716,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8330397625","display_name":null,"funder_award_id":"Funding","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320332086","display_name":"Helmholtz Artificial Intelligence Cooperation Unit","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296137080.pdf","grobid_xml":"https://content.openalex.org/works/W4296137080.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1991274233","https://openalex.org/W2008300604","https://openalex.org/W2151767444","https://openalex.org/W2153955158","https://openalex.org/W2157538353","https://openalex.org/W2593249465","https://openalex.org/W2773116114","https://openalex.org/W2787684890","https://openalex.org/W2787894218","https://openalex.org/W2788755111","https://openalex.org/W2792046648","https://openalex.org/W2907164325","https://openalex.org/W2964248263","https://openalex.org/W2975975302","https://openalex.org/W2979475588","https://openalex.org/W3004007986","https://openalex.org/W3006510956","https://openalex.org/W3010424471","https://openalex.org/W3085257246","https://openalex.org/W3110772809","https://openalex.org/W3126704758","https://openalex.org/W3135143126","https://openalex.org/W3143381390","https://openalex.org/W3164787933","https://openalex.org/W3182685990","https://openalex.org/W3187911394","https://openalex.org/W4289517828","https://openalex.org/W6850978995"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2960264696","https://openalex.org/W3109499659","https://openalex.org/W4382315317","https://openalex.org/W2966641257","https://openalex.org/W3186268266"],"abstract_inverted_index":{"Abstract":[0],"Sustainable":[1],"energy":[2,12,19],"systems":[3],"are":[4],"characterised":[5],"by":[6,176],"an":[7],"increased":[8],"integration":[9],"of":[10,59,141,180,207,220],"renewable":[11],"sources,":[13],"which":[14,104,159],"magnifies":[15],"the":[16,96,131,136,142,170,178,199,209,218],"fluctuations":[17],"in":[18],"supply.":[20],"Methods":[21],"to":[22,23,47,72,111,130,145,155,165,193,215],"cope":[24],"with":[25,84,162],"these":[26,53],"magnified":[27],"fluctuations,":[28],"such":[29,63],"as":[30],"load":[31,37,50,82],"shifting,":[32],"typically":[33],"require":[34,56],"accurate":[35,80],"short-term":[36,49,81],"forecasts.":[38],"Although":[39],"numerous":[40],"machine":[41],"learning":[42,107],"models":[43,54],"have":[44],"been":[45],"developed":[46],"improve":[48],"forecasting":[51],"(STLF),":[52],"often":[55],"large":[57],"amounts":[58],"training":[60,115,223],"data.":[61,224],"Unfortunately,":[62],"data":[64,86,109,116,128,133,139,144,164,175],"is":[65,87,117,204],"usually":[66],"not":[67],"available,":[68],"for":[69],"example,":[70],"due":[71],"new":[73],"users":[74],"or":[75],"privacy":[76],"concerns.":[77],"Therefore,":[78],"obtaining":[79],"forecasts":[83],"little":[85],"a":[88,102,123],"major":[89],"challenge.":[90],"The":[91,119],"present":[92],"paper":[93],"thus":[94,213],"proposes":[95],"latent":[97,137],"space-based":[98],"forecast":[99,210],"enhancer":[100],"(LSFE),":[101],"method":[103],"combines":[105],"transfer":[106],"and":[108,189,212],"augmentation":[110],"enhance":[112,166],"STLF":[113],"when":[114],"limited.":[118],"LSFE":[120,171],"first":[121],"trains":[122],"generative":[124],"model":[125],"on":[126,172,186],"source":[127],"similar":[129],"target":[132,143],"before":[134],"using":[135],"space":[138],"representation":[140],"generate":[146,156],"seed":[147,153],"noise.":[148],"Finally,":[149],"we":[150,160],"use":[151],"this":[152],"noise":[154],"synthetic":[157],"data,":[158],"combine":[161],"real":[163],"STLF.":[167],"We":[168,196],"evaluate":[169],"real-world":[173],"electricity":[174],"examining":[177],"influence":[179,185],"its":[181,184,191],"components,":[182],"analysing":[183],"obtained":[187],"forecasts,":[188],"comparing":[190],"performance":[192],"benchmark":[194],"models.":[195],"show":[197],"that":[198],"Latent":[200],"Space-based":[201],"Forecast":[202],"Enhancer":[203],"generally":[205],"capable":[206],"improving":[208],"accuracy":[211],"helps":[214],"successfully":[216],"meet":[217],"challenge":[219],"limited":[221],"available":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}