{"id":"https://openalex.org/W2921149492","doi":"https://doi.org/10.1109/tsg.2019.2892586","title":"A Supervised Machine Learning Approach to Control Energy Storage Devices","display_name":"A Supervised Machine Learning Approach to Control Energy Storage Devices","publication_year":2019,"publication_date":"2019-03-08","ids":{"openalex":"https://openalex.org/W2921149492","doi":"https://doi.org/10.1109/tsg.2019.2892586","mag":"2921149492"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2019.2892586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2019.2892586","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/2329478","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038690859","display_name":"Gonzague Henri","orcid":"https://orcid.org/0000-0002-4685-8868"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gonzague Henri","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432414","display_name":"Ning L\u00fc","orcid":"https://orcid.org/0000-0003-0125-0653"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038690859"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":2.7736,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.90720343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":"6","first_page":"5910","last_page":"5919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","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/T10603","display_name":"Smart Grid Energy Management","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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991000294685364,"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/T10223","display_name":"Microgrid Control and Optimization","score":0.9973999857902527,"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/schedule","display_name":"Schedule","score":0.6803829669952393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581119894981384},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6508117318153381},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5548890829086304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.503558337688446},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46604716777801514},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46403858065605164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4585847854614258},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44364115595817566},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43132826685905457},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.41838011145591736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3700617551803589},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0861559510231018}],"concepts":[{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6803829669952393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581119894981384},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6508117318153381},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5548890829086304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.503558337688446},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46604716777801514},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46403858065605164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4585847854614258},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44364115595817566},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43132826685905457},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.41838011145591736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3700617551803589},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0861559510231018},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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:10.1109/tsg.2019.2892586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2019.2892586","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:2329478","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2329478","pdf_url":"https://www.osti.gov/servlets/purl/2329478","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:2329478","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2329478","pdf_url":"https://www.osti.gov/servlets/purl/2329478","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921149492.pdf","grobid_xml":"https://content.openalex.org/works/W2921149492.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1502596994","https://openalex.org/W1522301498","https://openalex.org/W1873332500","https://openalex.org/W1975015542","https://openalex.org/W1990044368","https://openalex.org/W2007930753","https://openalex.org/W2039856804","https://openalex.org/W2041866840","https://openalex.org/W2042714603","https://openalex.org/W2069581154","https://openalex.org/W2098053680","https://openalex.org/W2101234009","https://openalex.org/W2121362791","https://openalex.org/W2138184147","https://openalex.org/W2170301514","https://openalex.org/W2203781371","https://openalex.org/W2205459841","https://openalex.org/W2220560459","https://openalex.org/W2277948250","https://openalex.org/W2280784568","https://openalex.org/W2298161645","https://openalex.org/W2329597761","https://openalex.org/W2528489473","https://openalex.org/W2704332907","https://openalex.org/W2783268157","https://openalex.org/W2888469087","https://openalex.org/W2896533274","https://openalex.org/W2964121744","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6639175750","https://openalex.org/W6675354045","https://openalex.org/W6688033919","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"This":[0,187],"paper":[1,53,171],"introduces":[2],"a":[3,162,177],"supervised":[4],"machine":[5],"learning":[6],"(ML)":[7],"approach":[8,38,136],"to":[9,180],"predict":[10],"and":[11,47,96,116,147],"schedule":[12],"the":[13,18,33,42,59,76,81,104,107,119,127,134,140,143,149,156,173,191],"real-time":[14],"operation":[15,20,66],"mode":[16,67],"of":[17,32,106,114,118,126,142,152,183],"next":[19],"interval":[21,71],"for":[22,68,175,193],"residential":[23,45,184],"PV/battery":[24],"systems":[25],"controlled":[26],"by":[27],"mode-based":[28,34,144],"controllers.":[29],"The":[30,44,64,166],"performance":[31,105,141],"economic":[35],"model-predictive":[36],"control":[37,70,145],"is":[39,72],"used":[40,50,79],"as":[41,80],"benchmark.":[43],"load":[46],"PV":[48],"data":[49,56,78],"in":[51,169],"this":[52,170],"are":[54,100],"1-min":[55],"downloaded":[57],"from":[58,75,123],"Pecan":[60],"Street":[61],"Project":[62],"website.":[63],"optimal":[65],"each":[69],"first":[73],"derived":[74],"historical":[77],"training":[82,120,157],"set.":[83],"Then,":[84],"four":[85,108],"ML":[86,135,164],"algorithms":[87,109],"(i.e.,":[88],"neural":[89],"network,":[90],"support":[91],"vector":[92],"machine,":[93],"logistic":[94],"regression,":[95],"random":[97],"forest":[98],"algorithms)":[99],"applied.":[101],"We":[102],"compared":[103],"when":[110],"using":[111,133,176],"different":[112,124],"number":[113],"features":[115],"length":[117],"sets":[121],"extracted":[122],"months":[125],"year.":[128],"Simulation":[129],"results":[130],"show":[131],"that":[132],"can":[137,158],"effectively":[138],"improve":[139],"system":[146],"reduce":[148,190],"computation":[150],"effort":[151],"local":[153],"controllers":[154,182],"because":[155],"be":[159],"completed":[160],"on":[161],"cloud-based":[163],"engine.":[165],"work":[167],"presented":[168],"paves":[172],"way":[174],"shared-learning":[178],"platform":[179],"design":[181],"PV/storage":[185],"systems.":[186,196],"may":[188],"significantly":[189],"cost":[192],"implementing":[194],"such":[195]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
