{"id":"https://openalex.org/W2491960799","doi":"https://doi.org/10.1007/978-3-319-42007-3_63","title":"Hourly Solar Radiation Forecasting Through Model Averaged Neural Networks and Alternating Model Trees","display_name":"Hourly Solar Radiation Forecasting Through Model Averaged Neural Networks and Alternating Model Trees","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2491960799","doi":"https://doi.org/10.1007/978-3-319-42007-3_63","mag":"2491960799"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-42007-3_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-42007-3_63","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/A5081896709","display_name":"Cameron Hamilton","orcid":"https://orcid.org/0009-0008-5342-9931"},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cameron R. Hamilton","raw_affiliation_strings":["Institute for Artificial Intelligence, 30602, Athens, Georgia"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, 30602, Athens, Georgia","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052933567","display_name":"Frederick Maier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frederick Maier","raw_affiliation_strings":["Institute for Artificial Intelligence, 30602, Athens, Georgia"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, 30602, Athens, Georgia","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110195153","display_name":"Walter D. Potter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter D. Potter","raw_affiliation_strings":["Institute for Artificial Intelligence, 30602, Athens, Georgia"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, 30602, Athens, Georgia","institution_ids":["https://openalex.org/I4210156221"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081896709"],"corresponding_institution_ids":["https://openalex.org/I4210156221"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3386,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54376824,"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":"737","last_page":"750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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/T12368","display_name":"Grey System Theory Applications","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6404847502708435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894858241081238},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5175011157989502},{"id":"https://openalex.org/keywords/griffin","display_name":"Griffin","score":0.4920468032360077},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4741061329841614},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.45495855808258057},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4446719288825989},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4290796220302582},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.4206158518791199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29959025979042053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2786336839199066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1747758388519287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1670723557472229},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13654661178588867},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1030803918838501}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6404847502708435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894858241081238},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5175011157989502},{"id":"https://openalex.org/C2775969163","wikidata":"https://www.wikidata.org/wiki/Q130223","display_name":"Griffin","level":2,"score":0.4920468032360077},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4741061329841614},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.45495855808258057},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4446719288825989},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4290796220302582},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.4206158518791199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29959025979042053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2786336839199066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1747758388519287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1670723557472229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13654661178588867},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1030803918838501},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-42007-3_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-42007-3_63","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":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W197326900","https://openalex.org/W1486906374","https://openalex.org/W1570448133","https://openalex.org/W1906393515","https://openalex.org/W1966080588","https://openalex.org/W1966391855","https://openalex.org/W1966490307","https://openalex.org/W1994295547","https://openalex.org/W2005763135","https://openalex.org/W2014725748","https://openalex.org/W2024787682","https://openalex.org/W2031939255","https://openalex.org/W2035739479","https://openalex.org/W2036391399","https://openalex.org/W2042511026","https://openalex.org/W2044289456","https://openalex.org/W2050379260","https://openalex.org/W2074457964","https://openalex.org/W2081808304","https://openalex.org/W2084691488","https://openalex.org/W2087070363","https://openalex.org/W2090287545","https://openalex.org/W2117812871","https://openalex.org/W2119066976","https://openalex.org/W2129270932","https://openalex.org/W2138052638","https://openalex.org/W2168227788","https://openalex.org/W2172953036","https://openalex.org/W2256578114","https://openalex.org/W2336439662","https://openalex.org/W4234698323","https://openalex.org/W4239570095"],"related_works":["https://openalex.org/W4245846742","https://openalex.org/W588680182","https://openalex.org/W2093304180","https://openalex.org/W4322009192","https://openalex.org/W4320483926","https://openalex.org/W2559793074","https://openalex.org/W3203207972","https://openalex.org/W4384209958","https://openalex.org/W4327814505","https://openalex.org/W2575795810"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}