{"id":"https://openalex.org/W1852835724","doi":"https://doi.org/10.1007/978-3-642-34481-7_65","title":"Statistical and Machine Learning Methods for Electricity Demand Prediction","display_name":"Statistical and Machine Learning Methods for Electricity Demand Prediction","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1852835724","doi":"https://doi.org/10.1007/978-3-642-34481-7_65","mag":"1852835724"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-34481-7_65","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-34481-7_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5025125679","display_name":"Alexandra Kotillova","orcid":null},"institutions":[{"id":"https://openalex.org/I3122011922","display_name":"University of \u017dilina","ror":"https://ror.org/031wwwj55","country_code":"SK","type":"education","lineage":["https://openalex.org/I3122011922"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Alexandra Kotillova","raw_affiliation_strings":["Department of Macro and Microeconomics, University of \u017dilina, \u017dilina, Slovakia","Department of Macro and Microeconomics, University of \u017dilina, \u017dilina, Slovakia#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Macro and Microeconomics, University of \u017dilina, \u017dilina, Slovakia","institution_ids":["https://openalex.org/I3122011922"]},{"raw_affiliation_string":"Department of Macro and Microeconomics, University of \u017dilina, \u017dilina, Slovakia#TAB#","institution_ids":["https://openalex.org/I3122011922"]}]},{"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, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, 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/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":"Mashud Rana","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025125679"],"corresponding_institution_ids":["https://openalex.org/I3122011922"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.21260233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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/T11052","display_name":"Energy Load and Power Forecasting","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/computer-science","display_name":"Computer science","score":0.7682057619094849},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.7260401248931885},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.6646329760551453},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6501243710517883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5976700186729431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5935089588165283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5273890495300293},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5133666396141052},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.487813264131546},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44183340668678284},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43564921617507935},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.43022987246513367},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3735635578632355},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27964386343955994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0924031138420105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682057619094849},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.7260401248931885},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.6646329760551453},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6501243710517883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5976700186729431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5935089588165283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273890495300293},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5133666396141052},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.487813264131546},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44183340668678284},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43564921617507935},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.43022987246513367},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3735635578632355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27964386343955994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0924031138420105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-34481-7_65","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-34481-7_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2084175761","https://openalex.org/W2103504194","https://openalex.org/W2115193923","https://openalex.org/W2144419913","https://openalex.org/W2151767444","https://openalex.org/W2156636680","https://openalex.org/W2171277043"],"related_works":["https://openalex.org/W4387220233","https://openalex.org/W2955496313","https://openalex.org/W4220924527","https://openalex.org/W3097024643","https://openalex.org/W3215481666","https://openalex.org/W4210402713","https://openalex.org/W4220732081","https://openalex.org/W2024558842","https://openalex.org/W3124446684","https://openalex.org/W3184066977"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}