{"id":"https://openalex.org/W7140204011","doi":"https://doi.org/10.48550/arxiv.2603.21089","title":"Approximate Dynamic Programming for Degradation-aware Market Participation of Battery Energy Storage Systems: Bridging Market and Degradation Timescales","display_name":"Approximate Dynamic Programming for Degradation-aware Market Participation of Battery Energy Storage Systems: Bridging Market and Degradation Timescales","publication_year":2026,"publication_date":"2026-03-22","ids":{"openalex":"https://openalex.org/W7140204011","doi":"https://doi.org/10.48550/arxiv.2603.21089"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21089","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21089","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21089","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Holtorf, Flemming","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holtorf, Flemming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Shin, Sungho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shin, Sungho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.8343999981880188,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10663","display_name":"Advanced Battery Technologies Research","score":0.8343999981880188,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10603","display_name":"Smart Grid Energy Management","score":0.04820000007748604,"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":0.04520000144839287,"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/dynamic-programming","display_name":"Dynamic programming","score":0.7552000284194946},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.569100022315979},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.5683000087738037},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5601000189781189},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.49480000138282776},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4860999882221222},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.44200000166893005},{"id":"https://openalex.org/keywords/energy-storage","display_name":"Energy storage","score":0.40630000829696655},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.39070001244544983},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.3695000112056732}],"concepts":[{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.7552000284194946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140000224113464},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.569100022315979},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5218999981880188},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.40630000829696655},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C2776582896","wikidata":"https://www.wikidata.org/wiki/Q5368536","display_name":"State of charge","level":4,"score":0.35670000314712524},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C2776849302","wikidata":"https://www.wikidata.org/wiki/Q1239166","display_name":"Energy market","level":3,"score":0.2987000048160553},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.2971999943256378},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21089","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21089","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21089","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21089","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6400212645530701}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,54],"approximate":[3],"dynamic":[4,40,83],"programming":[5,41,84],"framework":[6],"for":[7,13],"designing":[8],"degradation-aware":[9],"market":[10,68,143],"participation":[11],"policies":[12],"battery":[14,36],"energy":[15],"storage":[16],"systems.":[17],"The":[18,88],"approach":[19],"employs":[20],"a":[21,43,74,113],"tailored":[22],"value":[23,96,124],"function":[24,97],"approximation":[25],"that":[26,58,77,146],"reduces":[27],"the":[28,95,105,122,129,147],"state":[29,32,48],"space":[30],"to":[31,64,71,112],"of":[33,49,131],"charge":[34],"and":[35,82],"health,":[37],"while":[38],"performing":[39],"along":[42,104],"pseudo-time":[44],"axis":[45],"encoded":[46],"by":[47,121],"health.":[50],"This":[51,126],"formulation":[52],"enables":[53],"offline/online":[55],"computation":[56],"split":[57],"separates":[59],"long-term":[60],"degradation":[61,134],"dynamics":[62,69],"(months":[63],"years)":[65],"from":[66],"short-term":[67],"(seconds":[70],"minutes)":[72],"--":[73],"timescale":[75],"mismatch":[76],"renders":[78],"conventional":[79],"predictive":[80,117],"control":[81,118],"approaches":[85],"computationally":[86],"intractable.":[87],"main":[89],"computational":[90],"effort":[91],"occurs":[92],"offline,":[93],"where":[94],"is":[98],"approximated":[99],"via":[100],"coarse-grained":[101],"backward":[102],"induction":[103],"health":[106],"dimension.":[107],"Online":[108],"decisions":[109],"then":[110],"reduce":[111],"real-time":[114,138],"tractable":[115],"one-step":[116],"problem":[119],"guided":[120],"precomputed":[123],"function.":[125],"decoupling":[127],"allows":[128],"integration":[130],"high-fidelity":[132],"physics-informed":[133],"models":[135],"without":[136],"sacrificing":[137],"feasibility.":[139],"Backtests":[140],"on":[141],"historical":[142],"data":[144],"show":[145],"resulting":[148],"policy":[149],"outperforms":[150],"several":[151],"benchmark":[152],"strategies":[153],"with":[154],"optimized":[155],"hyperparameters.":[156]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-25T00:00:00"}