{"id":"https://openalex.org/W1513685248","doi":"https://doi.org/10.1109/acc.2015.7170865","title":"Non-parametric regression modeling for stochastic optimization of power grid load forecast","display_name":"Non-parametric regression modeling for stochastic optimization of power grid load forecast","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1513685248","doi":"https://doi.org/10.1109/acc.2015.7170865","mag":"1513685248"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2015.7170865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2015.7170865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 American Control Conference (ACC)","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/A5031214129","display_name":"Saahil Shenoy","orcid":"https://orcid.org/0000-0002-1467-524X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saahil Shenoy","raw_affiliation_strings":["Department of Physics, Stanford University, CA 94305\u2217, USA"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Stanford University, CA 94305\u2217, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043201307","display_name":"Dimitry Gorinevsky","orcid":"https://orcid.org/0000-0002-9595-0863"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitry Gorinevsky","raw_affiliation_strings":["[Department of Electrical Engineering, Stanford University, CA, 94305, USA]"],"affiliations":[{"raw_affiliation_string":"[Department of Electrical Engineering, Stanford University, CA, 94305, USA]","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011176205","display_name":"Stephen Boyd","orcid":"https://orcid.org/0000-0001-8353-6000"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Boyd","raw_affiliation_strings":["[Department of Electrical Engineering, Stanford University, CA, 94305, USA]"],"affiliations":[{"raw_affiliation_string":"[Department of Electrical Engineering, Stanford University, CA, 94305, USA]","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031214129"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.1837,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80683351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1010","last_page":"1015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9979000091552734,"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":0.9979000091552734,"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/T11236","display_name":"Control Systems and Identification","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/stochastic-optimization","display_name":"Stochastic optimization","score":0.6414313316345215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143856048583984},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5586233139038086},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5573307871818542},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5522117018699646},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.5413214564323425},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48740699887275696},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.48324069380760193},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.4796169698238373},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.44387349486351013},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.43944051861763},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.43743789196014404},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.41228705644607544},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3917919993400574},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18352913856506348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12429016828536987},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11562415957450867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10421255230903625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09468412399291992}],"concepts":[{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.6414313316345215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143856048583984},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5586233139038086},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5573307871818542},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5522117018699646},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.5413214564323425},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48740699887275696},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.48324069380760193},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.4796169698238373},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.44387349486351013},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.43944051861763},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.43743789196014404},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.41228705644607544},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3917919993400574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18352913856506348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12429016828536987},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11562415957450867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10421255230903625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09468412399291992},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2015.7170865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2015.7170865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W411746464","https://openalex.org/W1967747186","https://openalex.org/W1970739592","https://openalex.org/W1991452110","https://openalex.org/W1998563188","https://openalex.org/W2053915151","https://openalex.org/W2085048097","https://openalex.org/W2096904991","https://openalex.org/W2133479700","https://openalex.org/W2137295153","https://openalex.org/W2137922946","https://openalex.org/W2140041377","https://openalex.org/W2141838814","https://openalex.org/W2164278908","https://openalex.org/W2167250202","https://openalex.org/W2170193555","https://openalex.org/W2285373897","https://openalex.org/W2296319761","https://openalex.org/W2913535645","https://openalex.org/W3100067787","https://openalex.org/W3103465772","https://openalex.org/W4214712351","https://openalex.org/W4236566926","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W6684388392","https://openalex.org/W6696082267","https://openalex.org/W6758920291","https://openalex.org/W6786103671","https://openalex.org/W6818169715"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W4376874882","https://openalex.org/W2224749288"],"abstract_inverted_index":{"This":[0,99],"paper":[1,60],"develops":[2],"a":[3],"method":[4],"for":[5,76],"building":[6],"non-parametric":[7,30],"stochastic":[8,20,31,86],"models":[9,44],"of":[10,63,91,96,116],"multivariate":[11],"distributions":[12],"from":[13],"large":[14,53],"data":[15],"sets.":[16],"The":[17,28,43,71,85],"motivation":[18],"is":[19,34,74,101],"optimization":[21,49,87],"based":[22,35],"on":[23,36],"time":[24],"series":[25],"forecasting":[26,62],"models.":[27],"proposed":[29],"modeling":[32],"approach":[33,50],"multiple":[37],"quantile":[38],"regressions":[39],"with":[40,114],"inter-quantile":[41],"smoothing.":[42],"are":[45],"built":[46],"using":[47],"ADMM":[48],"scalable":[51],"to":[52],"datasets.":[54],"As":[55],"an":[56],"application":[57],"example,":[58],"the":[59,64,67,77,81,89,97,105,109],"considers":[61],"loads":[65],"in":[66,80,108],"electrical":[68],"power":[69,83,111],"grid.":[70],"forecasted":[72],"load":[73,112],"used":[75],"electricity":[78],"procurement":[79],"day-ahead":[82],"market.":[84],"trades":[88],"costs":[90],"advance":[92],"and":[93],"spot":[94],"procurements":[95],"electricity.":[98],"problem":[100],"currently":[102],"important":[103],"because":[104],"random":[106],"variability":[107],"grid":[110],"increases":[113],"integration":[115],"renewable":[117],"generation.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}