{"id":"https://openalex.org/W2897642867","doi":"https://doi.org/10.1109/access.2018.2876652","title":"Local Energy Trading Behavior Modeling With Deep Reinforcement Learning","display_name":"Local Energy Trading Behavior Modeling With Deep Reinforcement Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897642867","doi":"https://doi.org/10.1109/access.2018.2876652","mag":"2897642867"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876652","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2876652","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083430723","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0003-2616-6247"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009664810","display_name":"Wencong Su","orcid":"https://orcid.org/0000-0003-1482-3078"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wencong Su","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.733,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":105,"citation_normalized_percentile":{"value":0.999985,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"62806","last_page":"62814"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9999,"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":0.9999,"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":0.9938,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9899,"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/prosumer","display_name":"Prosumer","score":0.9386642},{"id":"https://openalex.org/keywords/energy-market","display_name":"Energy market","score":0.47393328}],"concepts":[{"id":"https://openalex.org/C2779939747","wikidata":"https://www.wikidata.org/wiki/Q1145220","display_name":"Prosumer","level":3,"score":0.9386642},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8878224},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.76705337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62502223},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5424086},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48723093},{"id":"https://openalex.org/C2776849302","wikidata":"https://www.wikidata.org/wiki/Q1239166","display_name":"Energy market","level":3,"score":0.47393328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46392238},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.44191712},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.1854187},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.18187842},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1464414},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876652","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/783319d7855d4bba95ab8dcbaa43061e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876652","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1757796397","https://openalex.org/W1982262386","https://openalex.org/W2022185333","https://openalex.org/W2035433160","https://openalex.org/W2039536224","https://openalex.org/W2043125187","https://openalex.org/W2098432798","https://openalex.org/W2121863487","https://openalex.org/W2145339207","https://openalex.org/W2341976847","https://openalex.org/W2343217767","https://openalex.org/W2395097544","https://openalex.org/W2510546018","https://openalex.org/W2569201729","https://openalex.org/W2593305919","https://openalex.org/W2621973433","https://openalex.org/W2734468743","https://openalex.org/W2754074965","https://openalex.org/W2766990820","https://openalex.org/W2767535599","https://openalex.org/W2768422029","https://openalex.org/W2884722687","https://openalex.org/W2885731420","https://openalex.org/W2964121744","https://openalex.org/W3011120880","https://openalex.org/W3100789280","https://openalex.org/W4214717370","https://openalex.org/W4298857966"],"related_works":["https://openalex.org/W4284974072","https://openalex.org/W3096874164","https://openalex.org/W2937181779","https://openalex.org/W2579759613","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2341346307","https://openalex.org/W2145363145","https://openalex.org/W1985560493","https://openalex.org/W1626977535"],"abstract_inverted_index":{"In":[0],"this":[1,56],"paper,":[2],"we":[3],"model":[4],"prosumers'":[5,101],"energy":[6,14,22,27,81,97,108],"trading":[7,28,82],"behavior,":[8],"with":[9,51,71],"the":[10,34,39,106],"operation":[11],"of":[12,30,59],"an":[13,95],"storage":[15],"system,":[16],"in":[17,33,105],"a":[18,31,47,76,92],"proposed":[19,35],"event-driven":[20],"local":[21,26,60,80],"market.":[23],"Through":[24],"modeling":[25],"strategies":[29],"prosumer":[32],"holistic":[36],"market":[37,61],"model,":[38],"prosumer's":[40],"decision-making":[41,57,93],"process":[42,50,58],"will":[43,63],"be":[44,64],"built":[45],"as":[46],"Markov":[48],"decision":[49],"many":[52],"continuous":[53],"variables.":[54],"Then,":[55],"participation":[62],"solved":[65],"by":[66],"deep":[67,77,87],"reinforcement":[68],"learning":[69],"technology":[70],"experience":[72],"replay":[73],"mechanism.":[74],"Specifically,":[75],"Q-learning":[78],"for":[79],"algorithm":[83],"is":[84],"modified":[85],"from":[86],"Q-network":[88],"to":[89,103],"facilitate":[90],"such":[91],"within":[94],"intelligent":[96],"system":[98],"and":[99],"promote":[100],"willingness":[102],"participate":[104],"localized":[107],"ecosystem.":[109]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2897642867","counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2025-03-31T02:09:28.240152","created_date":"2018-10-26"}