{"id":"https://openalex.org/W2766096156","doi":"https://doi.org/10.1109/isgt.2017.8085985","title":"A data-driven demand charge management solution for behind-the-meter storage applications","display_name":"A data-driven demand charge management solution for behind-the-meter storage applications","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2766096156","doi":"https://doi.org/10.1109/isgt.2017.8085985","mag":"2766096156"},"language":"en","primary_location":{"id":"doi:10.1109/isgt.2017.8085985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt.2017.8085985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","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/A5082614582","display_name":"Ramin Moslemi","orcid":"https://orcid.org/0000-0002-5275-9081"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ramin Moslemi","raw_affiliation_strings":["Energy Management Department, NEC Laboratories America, Inc., Cupertino, California, USA"],"affiliations":[{"raw_affiliation_string":"Energy Management Department, NEC Laboratories America, Inc., Cupertino, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011520457","display_name":"Ali Hooshmand","orcid":"https://orcid.org/0009-0006-1846-2344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Hooshmand","raw_affiliation_strings":["Energy Management Department, NEC Laboratories America, Inc., Cupertino, California, USA"],"affiliations":[{"raw_affiliation_string":"Energy Management Department, NEC Laboratories America, Inc., Cupertino, California, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102736348","display_name":"Ratnesh Sharma","orcid":"https://orcid.org/0000-0002-9139-2120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ratnesh K. Sharma","raw_affiliation_strings":["Energy Management Department, NEC Laboratories America, Inc., Cupertino, California, USA"],"affiliations":[{"raw_affiliation_string":"Energy Management Department, NEC Laboratories America, Inc., Cupertino, California, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082614582"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1467,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80377306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.6829352378845215},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.5988060235977173},{"id":"https://openalex.org/keywords/peak-demand","display_name":"Peak demand","score":0.5974785089492798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5637999176979065},{"id":"https://openalex.org/keywords/energy-storage","display_name":"Energy storage","score":0.5315900444984436},{"id":"https://openalex.org/keywords/load-management","display_name":"Load management","score":0.4978666305541992},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.490896999835968},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.4576089084148407},{"id":"https://openalex.org/keywords/installation","display_name":"Installation","score":0.4492166042327881},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44415390491485596},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4380209147930145},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.4130796492099762},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.36647945642471313},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35218024253845215},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.32737821340560913},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2378057837486267},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.15919235348701477},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.15226620435714722},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1430518925189972},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09835779666900635}],"concepts":[{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.6829352378845215},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.5988060235977173},{"id":"https://openalex.org/C147940328","wikidata":"https://www.wikidata.org/wiki/Q3393666","display_name":"Peak demand","level":3,"score":0.5974785089492798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637999176979065},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.5315900444984436},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.4978666305541992},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.490896999835968},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.4576089084148407},{"id":"https://openalex.org/C146778888","wikidata":"https://www.wikidata.org/wiki/Q836862","display_name":"Installation","level":2,"score":0.4492166042327881},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44415390491485596},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4380209147930145},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.4130796492099762},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.36647945642471313},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35218024253845215},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.32737821340560913},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2378057837486267},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.15919235348701477},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.15226620435714722},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1430518925189972},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09835779666900635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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":1,"locations":[{"id":"doi:10.1109/isgt.2017.8085985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt.2017.8085985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1895419283","https://openalex.org/W1967709069","https://openalex.org/W2018350828","https://openalex.org/W2046024530","https://openalex.org/W2058845438","https://openalex.org/W2066449147","https://openalex.org/W2093386947","https://openalex.org/W2097747115","https://openalex.org/W2100839818","https://openalex.org/W2135811075","https://openalex.org/W2146436035","https://openalex.org/W2165642550","https://openalex.org/W2281257494"],"related_works":["https://openalex.org/W2522559011","https://openalex.org/W2555175041","https://openalex.org/W4239205706","https://openalex.org/W2591208647","https://openalex.org/W4239297229","https://openalex.org/W2888353983","https://openalex.org/W2907087623","https://openalex.org/W2782880286","https://openalex.org/W39487273","https://openalex.org/W2792887192"],"abstract_inverted_index":{"In":[0,77],"recent":[1],"years,":[2],"developments":[3],"of":[4,25,32,62,72,127,138,159,165],"the":[5,7,22,26,30,33,42,54,59,70,94,117,133,144,148,157,160,166,172,176],"behind":[6],"meter":[8],"energy":[9,23],"managements":[10],"systems":[11],"(BTM-EMSs)":[12],"has":[13],"been":[14],"considered":[15],"as":[16],"an":[17],"effective":[18],"approach":[19,115,168],"to":[20,40,90,123,155],"manage":[21],"usage":[24],"industrial/commercial":[27],"units.":[28,76],"As":[29],"one":[31],"most":[34],"important":[35],"missions,":[36],"BTM-EMSs":[37],"are":[38,153],"responsible":[39],"reduce":[41],"customers'":[43],"monthly":[44,55,97],"demand":[45,56,83,98,102],"peaks":[46],"which":[47],"is":[48,88,169],"rewarded":[49],"by":[50,106],"significant":[51],"decrease":[52],"in":[53,143],"charge.":[57],"However,":[58],"unpredicted":[60],"behavior":[61],"individual":[63],"electricity":[64],"loads":[65,141],"casts":[66],"a":[67,80],"shadow":[68],"over":[69],"profitability":[71],"installing":[73],"BTM":[74],"storage":[75,109],"this":[78],"paper,":[79],"data":[81,145],"driven":[82],"charge":[84,103],"management":[85],"solution":[86],"(DCMS)":[87],"proposed":[89,114,167],"find":[91],"and":[92,111,129],"realize":[93],"minimum":[95],"achievable":[96],"peak,":[99],"also":[100],"called":[101],"threshold":[104],"(DCT),":[105],"appropriate":[107],"battery":[108],"charging":[110],"discharging.":[112],"The":[113,163],"uses":[116],"last":[118],"few":[119],"months":[120],"load":[121,179],"profile":[122],"calculate":[124],"time":[125,136,151],"series":[126,137,152],"DCTs":[128],"then":[130],"searches":[131],"for":[132],"similar":[134,150],"DCT":[135,158],"other":[139],"observed":[140],"stored":[142],"set.":[146],"Finally,":[147],"obtained":[149],"employed":[154],"forecast":[156],"coming":[161],"month.":[162],"efficiency":[164],"validated":[170],"through":[171],"simulation":[173],"studies":[174],"on":[175],"real":[177],"value":[178],"data.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}