{"id":"https://openalex.org/W2783027181","doi":"https://doi.org/10.1109/isgteurope.2017.8260098","title":"A machine learning based demand charge management solution","display_name":"A machine learning based demand charge management solution","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2783027181","doi":"https://doi.org/10.1109/isgteurope.2017.8260098","mag":"2783027181"},"language":"en","primary_location":{"id":"doi:10.1109/isgteurope.2017.8260098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2017.8260098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","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":1.2901,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82322346,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/battery","display_name":"Battery (electricity)","score":0.6322278380393982},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5962983965873718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5406110286712646},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.46623891592025757},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4181072413921356},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.4158360958099365},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3400895595550537},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32520049810409546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2878442406654358},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.24119430780410767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19291698932647705},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10290080308914185}],"concepts":[{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.6322278380393982},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5962983965873718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5406110286712646},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.46623891592025757},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4181072413921356},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4158360958099365},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3400895595550537},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32520049810409546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2878442406654358},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.24119430780410767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19291698932647705},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10290080308914185},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgteurope.2017.8260098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2017.8260098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"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/W2066796151","https://openalex.org/W2093386947","https://openalex.org/W2097747115","https://openalex.org/W2100839818","https://openalex.org/W2127218421","https://openalex.org/W2135811075","https://openalex.org/W2146436035","https://openalex.org/W2165642550","https://openalex.org/W2281257494","https://openalex.org/W2540085521","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2127787376","https://openalex.org/W2534655758"],"abstract_inverted_index":{"In":[0,147,185],"contrast":[1],"with":[2],"battery":[3,52,61,69,113],"storages":[4,53,62],"installed":[5,28],"by":[6,29],"distribution":[7],"network":[8],"operators":[9],"(DNOs)":[10],"which":[11,84],"are":[12,26,209],"responsible":[13],"to":[14,33,58,64,117,211],"shave":[15],"the":[16,20,30,35,44,68,85,89,94,105,109,119,123,137,158,162,168,173,176,181,186,189,193,196,201,206,213,220,226,230],"daily":[17,45,110],"peaks,":[18],"behind":[19],"meter":[21],"energy":[22],"managements":[23],"systems":[24],"(BTM-EMSs)":[25],"mostly":[27],"commercial/industrial":[31],"units":[32],"minimize":[34],"maximum":[36,90],"demand":[37,98,143],"peak":[38,91],"over":[39,136],"a":[40,134,150],"billing":[41],"period.":[42],"Therefore,":[43],"optimization":[46],"frameworks":[47,76],"used":[48,210],"in":[49,80,83,93,104,130,156,180,205],"DNO":[50],"side":[51],"could":[54,77],"not":[55],"be":[56,78],"applied":[57,79],"control":[59,75],"BTM":[60,81],"due":[63],"unnecessary":[65],"degradation":[66],"of":[67,88,126,139,175,188,192,200,219],"storages.":[70],"As":[71],"an":[72],"alternative,":[73],"two-layer":[74,152],"applications":[82],"minimum":[86],"achievable":[87],"value":[92,166,232],"next":[95,169],"month":[96,132,170],"(called":[97],"charge":[99,114,144],"threshold":[100],"(DCT))":[101],"is":[102,154,223],"determined":[103],"monthly":[106,159],"layer,":[107],"and":[108,115],"layer":[111,142,160],"schedules":[112],"discharge":[116],"realize":[118],"predetermined":[120],"DCT.":[121],"However,":[122],"unpredicted":[124],"behavior":[125,174],"individual":[127],"electricity":[128],"loads":[129,203],"coming":[131],"casts":[133],"shadow":[135],"functionality":[138],"such":[140],"two":[141],"management":[145],"solutions(DCMS).":[146],"this":[148],"paper,":[149],"novel":[151],"DCMS":[153],"proposed":[155,221],"which,":[157],"forecasts":[161],"near":[163],"optimal":[164],"DCT":[165,178,198,214],"for":[167],"based":[171],"on":[172,229],"load":[177,194,233],"values":[179],"last":[182],"few":[183],"months.":[184],"absence":[187],"long":[190],"history":[191],"profile,":[195],"similar":[197],"profiles":[199],"other":[202],"available":[204],"data":[207],"set":[208],"construct":[212],"forecast":[215],"model.":[216],"The":[217],"efficiency":[218],"approach":[222],"validated":[224],"through":[225],"simulation":[227],"studies":[228],"real":[231],"data.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}