{"id":"https://openalex.org/W4316924473","doi":"https://doi.org/10.1109/icset57543.2022.10011009","title":"Modeling Domestic Solar Generation Profiles Using Elbow and K-Means Clustering Techniques","display_name":"Modeling Domestic Solar Generation Profiles Using Elbow and K-Means Clustering Techniques","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4316924473","doi":"https://doi.org/10.1109/icset57543.2022.10011009"},"language":"en","primary_location":{"id":"doi:10.1109/icset57543.2022.10011009","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icset57543.2022.10011009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th International Conference on System Engineering and Technology (ICSET)","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/A5024022727","display_name":"Hanis Nasuha Amer","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Hanis Nasuha Binti Amer","raw_affiliation_strings":["School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam,Selangor,Malaysia","School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam,Selangor,Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113950834","display_name":"Mohd Fuad Abdul Latip","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Fuad Abdul Latip","raw_affiliation_strings":["School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam,Selangor,Malaysia","School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam,Selangor,Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002950551","display_name":"Norliza Zaini","orcid":"https://orcid.org/0000-0002-0851-3172"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norliza Zaini","raw_affiliation_strings":["School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam,Selangor,Malaysia","School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam,Selangor,Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"School of Electrical Engineering, College of Engineering Universiti Teknologi MARA Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024022727"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.0921,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43265298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9994000196456909,"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":0.9994000196456909,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11336","display_name":"Energy and Environment Impacts","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6908096671104431},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6514425277709961},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.5711352825164795},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5300880074501038},{"id":"https://openalex.org/keywords/electricity-generation","display_name":"Electricity generation","score":0.5065697431564331},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.48905429244041443},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.48137953877449036},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.45202186703681946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42322731018066406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28117406368255615},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.16403254866600037},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1575663983821869},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14590272307395935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1024753749370575},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0823792815208435}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6908096671104431},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6514425277709961},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.5711352825164795},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5300880074501038},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.5065697431564331},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.48905429244041443},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.48137953877449036},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.45202186703681946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42322731018066406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28117406368255615},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.16403254866600037},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1575663983821869},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14590272307395935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1024753749370575},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0823792815208435},{"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/icset57543.2022.10011009","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icset57543.2022.10011009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th International Conference on System Engineering and Technology (ICSET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1628560151","https://openalex.org/W1919812486","https://openalex.org/W2342403903","https://openalex.org/W2402626049","https://openalex.org/W2460884160","https://openalex.org/W2941197459","https://openalex.org/W2976769451","https://openalex.org/W3011267887","https://openalex.org/W4205856656","https://openalex.org/W4206161928"],"related_works":["https://openalex.org/W2993707183","https://openalex.org/W4247798368","https://openalex.org/W2982930857","https://openalex.org/W3199607909","https://openalex.org/W3120797817","https://openalex.org/W4379207511","https://openalex.org/W2907976155","https://openalex.org/W2505141013","https://openalex.org/W2029999451","https://openalex.org/W3090120914"],"abstract_inverted_index":{"Solar":[0],"photovoltaic":[1],"(PV)":[2],"power":[3,20,137],"generation":[4,21,77],"started":[5],"growing":[6],"at":[7,94],"the":[8,28,108,121,132,144,158,162,197],"second-fastest":[9],"rate":[10],"of":[11,31,75,90,166,176,185,201],"all":[12],"renewable":[13],"energy":[14,33,67],"technologies":[15],"in":[16,26,169],"2020.":[17],"Researchers":[18],"and":[19,100,139,148],"industries":[22],"are":[23,54],"progressively":[24],"interested":[25],"discussing":[27],"behavior":[29,78,199],"analysis":[30,126],"solar":[32,49,66,76,82,88,171,204],"to":[34,47,70,106,130,143,160,181,195],"daily":[35],"weather":[36,140],"patterns":[37],"over":[38],"time.":[39],"Previous":[40],"research":[41],"has":[42,157],"often":[43],"proposed":[44],"clustering":[45,68,102],"techniques":[46,69],"evaluate":[48,196],"PV":[50,59,136,205],"production":[51],"profiles":[52,79],"that":[53,154,191],"mainly":[55],"focused":[56],"on":[57,115],"large-scale":[58],"facilities.":[60],"Therefore,":[61],"this":[62,186],"study":[63,187],"explores":[64],"domestic":[65],"develop":[71],"a":[72,91,174,189],"cluster-based":[73],"representation":[74],"by":[80],"using":[81,120],"data":[83,110,168],"collected":[84],"from":[85,179],"single-phase":[86],"home":[87],"panels":[89],"residence":[92],"located":[93],"Setia":[95],"Alam,":[96],"Selangor,":[97],"Malaysia.":[98],"Elbow":[99],"K-Means":[101],"approaches":[103],"were":[104],"used":[105],"classify":[107],"entire":[109],"into":[111],"three":[112],"clusters":[113],"based":[114],"similar":[116],"meteorological":[117],"parameters":[118],"developed":[119],"Python":[122],"programming":[123],"language.":[124],"Data":[125],"was":[127],"then":[128],"performed":[129],"determine":[131],"correlation":[133],"coefficient":[134],"between":[135],"output":[138],"conditions.":[141],"Due":[142],"high":[145,170],"ambient":[146],"temperature":[147],"low":[149],"humidity,":[150],"it":[151],"is":[152],"observed":[153],"March":[155],"2022":[156],"potential":[159],"produce":[161],"largest":[163],"percentage":[164],"value":[165,175],"clustered":[167],"generation,":[172],"with":[173],"25.27%":[177],"ranging":[178],"2839":[180],"4867W.":[182],"The":[183],"results":[184],"offer":[188],"technique":[190],"users":[192],"can":[193],"apply":[194],"overall":[198],"profile":[200],"existing":[202],"residential":[203],"systems.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}