{"id":"https://openalex.org/W2528194792","doi":"https://doi.org/10.1109/icpes.2016.7584063","title":"Short term energy forecasting techniques for virtual power plants","display_name":"Short term energy forecasting techniques for virtual power plants","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2528194792","doi":"https://doi.org/10.1109/icpes.2016.7584063","mag":"2528194792"},"language":"en","primary_location":{"id":"doi:10.1109/icpes.2016.7584063","doi":"https://doi.org/10.1109/icpes.2016.7584063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpes.2016.7584063","pdf_url":null,"source":{"id":"https://openalex.org/S4306498441","display_name":"International Conference on Power Systems (ICPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 6th International Conference on Power Systems (ICPS)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2528194792"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5103719047","display_name":"Sharon Ravichandran","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharon Ravichandran","raw_affiliation_strings":["Department of Electrical Engineering, IIT, Madras, Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT, Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008669","display_name":"Anitha Vijayalakshmi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijayalakshmi A","raw_affiliation_strings":["Department of Electrical Engineering, IIT, Madras, Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT, Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002095656","display_name":"K. Shanti Swarup","orcid":"https://orcid.org/0000-0002-4883-7649","observed_orcids":["https://orcid.org/0000-0002-4883-7649"]},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Shanti Swarup","raw_affiliation_strings":["Department of Electrical Engineering, IIT, Madras, Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT, Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008567245","display_name":"Haile-Selassie Rajamani","orcid":"https://orcid.org/0000-0002-1656-4842","observed_orcids":["https://orcid.org/0000-0002-1656-4842"]},"institutions":[{"id":"https://openalex.org/I139894009","display_name":"University of Bradford","ror":"https://ror.org/00vs8d940","country_code":"GB","type":"education","lineage":["https://openalex.org/I139894009"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haile-Selassie Rajamani","raw_affiliation_strings":["Engineering and Informatics University of Bradford, Bradford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering and Informatics University of Bradford, Bradford, UK","institution_ids":["https://openalex.org/I139894009"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089947505","display_name":"Prashant Pillai","orcid":"https://orcid.org/0000-0002-5314-5030","observed_orcids":["https://orcid.org/0000-0002-5314-5030"]},"institutions":[{"id":"https://openalex.org/I139894009","display_name":"University of Bradford","ror":"https://ror.org/00vs8d940","country_code":"GB","type":"education","lineage":["https://openalex.org/I139894009"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Prashant Pillai","raw_affiliation_strings":["Engineering and Informatics University of Bradford, Bradford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering and Informatics University of Bradford, Bradford, UK","institution_ids":["https://openalex.org/I139894009"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3929,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7453106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9970999956130981,"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":0.9970999956130981,"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":0.0019000000320374966,"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":9.999999747378752e-05,"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/short-term-energy-forecasting","display_name":"short-term energy forecasting","score":0.8399999737739563},{"id":"https://openalex.org/keywords/virtual-power-plants","display_name":"virtual power plants","score":0.996999979019165},{"id":"https://openalex.org/keywords/smart-metering","display_name":"smart metering","score":0.6819999814033508},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8080000281333923},{"id":"https://openalex.org/keywords/meteorological-observations","display_name":"meteorological observations","score":0.8220000267028809},{"id":"https://openalex.org/keywords/holiday-effects","display_name":"holiday effects","score":0.7390000224113464},{"id":"https://openalex.org/keywords/load-forecasting","display_name":"load forecasting","score":0.6489999890327454}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7640790939331055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5989546775817871},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48882314562797546},{"id":"https://openalex.org/C2776033628","wikidata":"https://www.wikidata.org/wiki/Q785102","display_name":"Virtual power plant","level":4,"score":0.4324502646923065},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41582241654396057},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.280284583568573},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.21631693840026855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17570501565933228},{"id":"https://openalex.org/C544738498","wikidata":"https://www.wikidata.org/wiki/Q861135","display_name":"Distributed generation","level":3,"score":0.13465991616249084},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpes.2016.7584063","doi":"https://doi.org/10.1109/icpes.2016.7584063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpes.2016.7584063","pdf_url":null,"source":{"id":"https://openalex.org/S4306498441","display_name":"International Conference on Power Systems (ICPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 6th International Conference on Power Systems (ICPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:bradscholars.brad.ac.uk:10454/11101","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10454/11101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401846","display_name":"Bradford Scholars (University of Bradford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139894009","host_organization_name":"University of Bradford","host_organization_lineage":["https://openalex.org/I139894009"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9853000044822693,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.46149998903274536,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1984452465","https://openalex.org/W2005058534","https://openalex.org/W2008406084","https://openalex.org/W2039346833","https://openalex.org/W2048661279","https://openalex.org/W2072158120","https://openalex.org/W2072476502","https://openalex.org/W2079547580","https://openalex.org/W2109933203","https://openalex.org/W2144335970","https://openalex.org/W2152827969","https://openalex.org/W2163183954","https://openalex.org/W2169337658"],"related_works":["https://openalex.org/W4200560782","https://openalex.org/W4410537951","https://openalex.org/W2981907474","https://openalex.org/W3203151225","https://openalex.org/W1500749058","https://openalex.org/W2905893376","https://openalex.org/W4280559017","https://openalex.org/W3031628432","https://openalex.org/W4406985153","https://openalex.org/W2170831719"],"abstract_inverted_index":{"The":[0,56,78],"advent":[1],"of":[2,10,30,39],"smart":[3],"meter":[4],"technology":[5],"has":[6],"enabled":[7],"periodic":[8],"monitoring":[9],"consumer":[11],"energy":[12,17,31,51,60,73,104],"consumption.":[13],"Hence,":[14],"short":[15,49],"term":[16,50],"forecasting":[18,29,52,61,74],"is":[19,33,76,80],"gaining":[20],"more":[21],"importance":[22],"than":[23],"conventional":[24],"load":[25],"forecasting.":[26],"An":[27],"Accurate":[28],"consumption":[32,105],"indispensable":[34],"for":[35],"the":[36,92,103],"proper":[37],"functioning":[38],"a":[40,54,63],"virtual":[41],"power":[42],"plant":[43],"(VPP).":[44],"This":[45],"paper":[46],"focuses":[47],"on":[48,82],"in":[53,62,98],"VPP.":[55],"factors":[57],"that":[58],"influence":[59],"VPP":[64],"are":[65],"identified":[66],"and":[67,96,101],"an":[68],"artificial":[69],"neural":[70],"network":[71],"based":[72],"model":[75,79],"built.":[77],"tested":[81],"Sydney/":[83,99],"New":[84],"South":[85],"Wales":[86],"(NSW)":[87],"electricity":[88],"grid.":[89],"It":[90],"considers":[91],"historical":[93],"weather":[94],"data":[95],"holidays":[97],"NSW":[100],"forecasts":[102],"pattern":[106],"with":[107],"sufficient":[108],"accuracy.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-10-14T00:00:00"}