{"id":"https://openalex.org/W2556468833","doi":"https://doi.org/10.1109/ijcnn.2016.7727374","title":"Clustering based methods for solar power forecasting","display_name":"Clustering based methods for solar power forecasting","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2556468833","doi":"https://doi.org/10.1109/ijcnn.2016.7727374","mag":"2556468833"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5100401102","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0002-4814-1115"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["School of Information Technologies, University of Sydney, NSW, Australia","School of Information Technologies, University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079360974","display_name":"Irena Koprinska","orcid":"https://orcid.org/0000-0001-9479-4187"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Irena Koprinska","raw_affiliation_strings":["School of Information Technologies, University of Sydney, NSW, Australia","School of Information Technologies, University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068647269","display_name":"Mashud Rana","orcid":"https://orcid.org/0000-0003-2999-9367"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mashud Rana","raw_affiliation_strings":["Australian Energy Research Institute, University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Energy Research Institute, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100401102"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":3.8563,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.94445324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"85","issue":null,"first_page":"1487","last_page":"1494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9987000226974487,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8936688303947449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6360719203948975},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"Solar irradiance","score":0.6121788024902344},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.5822073221206665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5032464861869812},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.4371335208415985},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4321066737174988},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3690165877342224},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3036354184150696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2621282935142517},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2562895715236664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19297325611114502},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09974193572998047}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8936688303947449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6360719203948975},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.6121788024902344},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.5822073221206665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5032464861869812},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.4371335208415985},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4321066737174988},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3690165877342224},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3036354184150696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2621282935142517},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2562895715236664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19297325611114502},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09974193572998047},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/ijcnn.2016.7727374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"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":15,"referenced_works":["https://openalex.org/W1668963720","https://openalex.org/W1948956962","https://openalex.org/W1988989532","https://openalex.org/W1994295547","https://openalex.org/W2008750647","https://openalex.org/W2017108778","https://openalex.org/W2021150907","https://openalex.org/W2031939255","https://openalex.org/W2070826863","https://openalex.org/W2072540810","https://openalex.org/W2088786192","https://openalex.org/W2116174583","https://openalex.org/W2123235979","https://openalex.org/W2158737532","https://openalex.org/W2173259274"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2171610853","https://openalex.org/W3144143113","https://openalex.org/W3022637481","https://openalex.org/W3120229345","https://openalex.org/W2491448268","https://openalex.org/W2394117789","https://openalex.org/W2160785859","https://openalex.org/W2390610678","https://openalex.org/W2394193399"],"abstract_inverted_index":{"Accurate":[0],"forecasting":[1],"of":[2,11,25,99,131],"solar":[3,12,29,38,72,133],"power":[4,31,39,73],"is":[5],"needed":[6],"for":[7,32,67,96,109,135],"the":[8,15,23,27,33,53,57,71,116,122,136],"successful":[9],"integration":[10],"energy":[13],"into":[14],"electricity":[16],"grid.":[17],"In":[18],"this":[19],"paper":[20],"we":[21],"consider":[22],"task":[24],"predicting":[26],"half-hourly":[28,132],"photovoltaic":[30],"next":[34],"day":[35],"from":[36],"previous":[37],"and":[40,45,60,84,146,150],"weather":[41,58],"data.":[42,74],"We":[43,75,101],"propose":[44],"evaluate":[46],"several":[47],"clustering":[48,123,145],"based":[49,55,82,88,124,148],"methods,":[50],"that":[51,90,115],"group":[52],"days":[54],"on":[56],"characteristics":[59],"then":[61],"build":[62,91],"a":[63,92,103,129],"separate":[64],"prediction":[65,94,119],"model":[66,95,120],"each":[68],"cluster":[69],"using":[70,106],"compare":[76],"these":[77],"methods":[78,89,149],"with":[79,86],"their":[80],"non-clustering":[81,87,147],"counterparts,":[83],"also":[85],"single":[93],"all":[97,143],"types":[98],"days.":[100],"conduct":[102],"comprehensive":[104],"evaluation":[105],"Australian":[107],"data":[108],"two":[110],"years.":[111],"Our":[112],"results":[113],"show":[114],"most":[117],"accurate":[118],"was":[121],"nearest":[125],"neighbor":[126],"which":[127],"uses":[128],"vector":[130],"irradiance":[134],"clustering.":[137],"It":[138],"achieved":[139],"MAE=59.81":[140],"KW,":[141],"outperforming":[142],"other":[144],"baselines.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}