{"id":"https://openalex.org/W2999934657","doi":"https://doi.org/10.4018/ijmdem.2020010103","title":"User-Based Load Visualization of Categorical Forecasted Smart Meter Data Using LSTM Network","display_name":"User-Based Load Visualization of Categorical Forecasted Smart Meter Data Using LSTM Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999934657","doi":"https://doi.org/10.4018/ijmdem.2020010103","mag":"2999934657"},"language":"en","primary_location":{"id":"doi:10.4018/ijmdem.2020010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmdem.2020010103","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-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/A5100363836","display_name":"Ajay Kumar","orcid":"https://orcid.org/0000-0002-3693-9701"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ajay Kumar","raw_affiliation_strings":["JSS Academy of Technical Education, Noida, India"],"affiliations":[{"raw_affiliation_string":"JSS Academy of Technical Education, Noida, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058719477","display_name":"Parveen Poon Terang","orcid":"https://orcid.org/0000-0002-0088-0453"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parveen Poon Terang","raw_affiliation_strings":["JSS Academy of Technical Education, Noida, India"],"affiliations":[{"raw_affiliation_string":"JSS Academy of Technical Education, Noida, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089325290","display_name":"Vikram Bali","orcid":"https://orcid.org/0000-0002-2809-8455"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vikram Bali","raw_affiliation_strings":["JSS Academy of Technical Education, Noida, India"],"affiliations":[{"raw_affiliation_string":"JSS Academy of Technical Education, Noida, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100363836"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.822,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71546659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"30","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9940999746322632,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8268620371818542},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.7582974433898926},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7508349418640137},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5480714440345764},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5381174683570862},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5017800331115723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.483711302280426},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4701160490512848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46018844842910767},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4547445476055145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45034122467041016},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.44873932003974915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4480569064617157},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43787163496017456},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41213661432266235},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3544422388076782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268620371818542},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.7582974433898926},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7508349418640137},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5480714440345764},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5381174683570862},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5017800331115723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.483711302280426},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4701160490512848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46018844842910767},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4547445476055145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45034122467041016},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.44873932003974915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4480569064617157},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43787163496017456},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41213661432266235},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3544422388076782},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijmdem.2020010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmdem.2020010103","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jmdem0:v:11:y:2020:i:1:p:30-50","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMDEM.2020010103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1525783482","https://openalex.org/W1664361434","https://openalex.org/W1815076433","https://openalex.org/W1908962573","https://openalex.org/W1974961444","https://openalex.org/W1987938889","https://openalex.org/W2032161710","https://openalex.org/W2075299467","https://openalex.org/W2090742183","https://openalex.org/W2107226190","https://openalex.org/W2107878631","https://openalex.org/W2127192673","https://openalex.org/W2130942839","https://openalex.org/W2134105378","https://openalex.org/W2136848157","https://openalex.org/W2163121678","https://openalex.org/W2215699581","https://openalex.org/W2268331518","https://openalex.org/W2269227734","https://openalex.org/W2278049535","https://openalex.org/W2283229106","https://openalex.org/W2295959395","https://openalex.org/W2481916066","https://openalex.org/W2548908035","https://openalex.org/W2553165053","https://openalex.org/W2562403923","https://openalex.org/W2613278213","https://openalex.org/W2754252319","https://openalex.org/W2766843231","https://openalex.org/W2802380806","https://openalex.org/W2811003579","https://openalex.org/W2956194600","https://openalex.org/W2965277935","https://openalex.org/W3110141657","https://openalex.org/W4285719527","https://openalex.org/W6600284362"],"related_works":["https://openalex.org/W2898021358","https://openalex.org/W3018909029","https://openalex.org/W3205631650","https://openalex.org/W2246071452","https://openalex.org/W2775355700","https://openalex.org/W2165970106","https://openalex.org/W1985785385","https://openalex.org/W1124398682","https://openalex.org/W4316660856","https://openalex.org/W2387071565"],"abstract_inverted_index":{"Electrical":[0],"load":[1,109,121],"forecasting":[2,110,119],"is":[3,56,98],"an":[4],"essential":[5],"feature":[6],"in":[7,26,105],"power":[8],"systems":[9],"planning,":[10],"operation":[11],"and":[12,16,86],"control.":[13],"The":[14,50,92],"non-linearity":[15],"non-stationary":[17],"nature":[18],"of":[19,28,84,94,108,118,120],"the":[20,95,106,116],"data,":[21],"however,":[22],"poses":[23],"a":[24,33,37],"challenge":[25],"terms":[27],"accuracy.":[29],"This":[30],"article":[31],"explores":[32],"deep":[34],"learning":[35,53],"technique,":[36],"long":[38],"short-term":[39],"memory":[40],"recurrent":[41],"neural":[42],"network-based":[43],"framework":[44,55],"to":[45,75,78,81,102],"tackle":[46],"this":[47],"tricky":[48],"issue.":[49],"proposed":[51,96],"machine":[52],"model":[54,97],"tested":[57],"on":[58,122],"real":[59],"time":[60],"residential":[61],"smart":[62],"meter":[63],"data":[64],"showing":[65,111],"promising":[66],"results.":[67],"A":[68],"web":[69],"application":[70],"has":[71],"also":[72,99],"been":[73],"developed":[74],"allow":[76],"consumers":[77],"have":[79],"access":[80],"greater":[82],"levels":[83],"information":[85],"facilitate":[87],"decision-making":[88],"at":[89],"their":[90],"end.":[91],"performance":[93],"comprehensively":[100],"compared":[101],"other":[103],"methods":[104],"field":[107],"more":[112],"accurate":[113],"results":[114],"for":[115],"function":[117],"short":[123],"term":[124],"basis.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}