{"id":"https://openalex.org/W4404741835","doi":"https://doi.org/10.1109/rtsi61910.2024.10761807","title":"Application of an LSTM-Based Forecaster in a Model Predictive Controller of a Microgrid","display_name":"Application of an LSTM-Based Forecaster in a Model Predictive Controller of a Microgrid","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4404741835","doi":"https://doi.org/10.1109/rtsi61910.2024.10761807"},"language":"en","primary_location":{"id":"doi:10.1109/rtsi61910.2024.10761807","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rtsi61910.2024.10761807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","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/A5102027270","display_name":"Federico Rossi","orcid":"https://orcid.org/0009-0001-7512-154X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Rossi","raw_affiliation_strings":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy,I-20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy,I-20133","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064664899","display_name":"Giancarlo Storti Gajani","orcid":"https://orcid.org/0000-0001-8182-7891"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giancarlo Storti Gajani","raw_affiliation_strings":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy,I-20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy,I-20133","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032756237","display_name":"Giambattista Gruosso","orcid":"https://orcid.org/0000-0001-6417-3750"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giambattista Gruosso","raw_affiliation_strings":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy,I-20133"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milano,Italy,I-20133","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20292276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9211999773979187,"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/microgrid","display_name":"Microgrid","score":0.9065952301025391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374282836914062},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5620154738426208},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.521639883518219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5101483464241028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5017604827880859},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3951980173587799},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32042351365089417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20890754461288452},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1936107575893402}],"concepts":[{"id":"https://openalex.org/C2776784348","wikidata":"https://www.wikidata.org/wiki/Q5762595","display_name":"Microgrid","level":3,"score":0.9065952301025391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374282836914062},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5620154738426208},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.521639883518219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5101483464241028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5017604827880859},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3951980173587799},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32042351365089417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20890754461288452},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1936107575893402},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rtsi61910.2024.10761807","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rtsi61910.2024.10761807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1284447","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1284447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1997234323","https://openalex.org/W2064675550","https://openalex.org/W2536620281","https://openalex.org/W2969522850","https://openalex.org/W3081948563","https://openalex.org/W4311993838","https://openalex.org/W4319161203","https://openalex.org/W4327599708","https://openalex.org/W4360996548","https://openalex.org/W6753485091","https://openalex.org/W6767885493","https://openalex.org/W6803779217","https://openalex.org/W6804796627","https://openalex.org/W6837944927","https://openalex.org/W6841532455","https://openalex.org/W6848157431","https://openalex.org/W6850593066","https://openalex.org/W6862591753"],"related_works":["https://openalex.org/W1574359403","https://openalex.org/W2057975886","https://openalex.org/W4308700935","https://openalex.org/W4210780382","https://openalex.org/W2356033827","https://openalex.org/W2391138633","https://openalex.org/W2907234787","https://openalex.org/W4388301268","https://openalex.org/W1590827513","https://openalex.org/W2000675896"],"abstract_inverted_index":{"Following":[0],"the":[1,68,85,140,147,151,154,174],"establishment":[2],"of":[3,38,87,114,153],"renewable":[4],"energy":[5,17,60,99],"communities":[6],"(REC),":[7],"it":[8],"has":[9],"become":[10],"essential":[11],"to":[12,30,83,89,123],"develop":[13],"control":[14,75,91],"systems":[15,27],"for":[16,55,59,78,176],"management.":[18],"In":[19,33,65,145],"fact,":[20],"efficiently":[21],"managing":[22,79],"generators,":[23],"loads,":[24],"and":[25,41,136,172],"storage":[26],"is":[28,103],"important":[29],"promote":[31],"self-consumption.":[32],"this":[34,66],"context,":[35],"accurate":[36,52],"prediction":[37,101],"both":[39],"generation":[40,135],"consumption":[42],"profiles,":[43],"as":[44,46],"well":[45],"market":[47,98,143],"prices,":[48],"becomes":[49],"crucial.":[50],"Indeed,":[51],"forecasts":[53],"allow":[54],"defining":[56],"optimal":[57],"schedules":[58],"trading,":[61],"thus":[62],"minimizing":[63],"costs.":[64],"perspective,":[67],"current":[69],"work":[70],"presents":[71],"a":[72,97,158],"model":[73,102,156],"predictive":[74],"(MPC)-based":[76],"controller":[77],"two":[80,129],"microgrids.":[81],"Additionally,":[82],"exploit":[84],"ability":[86],"MPC":[88],"execute":[90],"actions":[92],"based":[93],"on":[94],"future":[95],"forecasts,":[96],"price":[100],"implemented.":[104],"This":[105],"predictor":[106],"leverages":[107],"LSTM":[108],"artificial":[109],"neural":[110],"networks":[111],"(NNs)":[112],"capable":[113],"capturing":[115],"complex":[116],"temporal":[117],"dependency":[118],"patterns":[119],"in":[120],"time":[121],"series":[122],"make":[124],"predictions.":[125],"The":[126,131,166],"study":[127],"analyzes":[128],"scenarios.":[130],"first":[132],"considers":[133],"only":[134],"load":[137],"profiles":[138],"while":[139],"second":[141],"incorporates":[142],"prices.":[144],"particular,":[146],"latter":[148],"scenario":[149],"compares":[150],"performance":[152],"LSTM-based":[155],"with":[157],"traditional":[159],"autoregressive":[160],"integrated":[161],"moving":[162],"average":[163],"(ARIMA)":[164],"model.":[165],"results":[167],"obtained":[168],"are":[169],"very":[170],"promising":[171],"pave":[173],"way":[175],"new":[177],"analysis":[178],"methodologies.":[179]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}