{"id":"https://openalex.org/W4308293735","doi":"https://doi.org/10.1007/s00366-022-01751-1","title":"Improved river water-stage forecasts by ensemble learning","display_name":"Improved river water-stage forecasts by ensemble learning","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4308293735","doi":"https://doi.org/10.1007/s00366-022-01751-1"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00366-022-01751-1","pdf_url":null,"source":{"id":"https://openalex.org/S89333158","display_name":"Engineering With Computers","issn_l":"0177-0667","issn":["0177-0667","1435-5663"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100723940","display_name":"Shicheng Li","orcid":"https://orcid.org/0000-0002-5239-6559"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Shicheng Li","raw_affiliation_strings":["Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101518496","display_name":"James Yang","orcid":"https://orcid.org/0000-0002-4242-3824"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"James Yang","raw_affiliation_strings":["Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990,"provenance":"doaj"},"apc_paid":null,"fwci":0.364,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.563037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":81},"biblio":{"volume":"39","issue":"5","first_page":"3293","last_page":"3311"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Modeling using Machine Learning Methods","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Modeling using Machine Learning Methods","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Electricity Price and Load Forecasting Methods","score":0.9963,"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/T10330","display_name":"Hydrological Modeling and Water Resource Management","score":0.9958,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.73323756},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6710259},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.60595345},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5872597},{"id":"https://openalex.org/keywords/groundwater-level-forecasting","display_name":"Groundwater Level Forecasting","score":0.570504},{"id":"https://openalex.org/keywords/rainfall-runoff-modeling","display_name":"Rainfall-Runoff Modeling","score":0.567972},{"id":"https://openalex.org/keywords/load-forecasting","display_name":"Load Forecasting","score":0.548696},{"id":"https://openalex.org/keywords/watershed-simulation","display_name":"Watershed Simulation","score":0.543159},{"id":"https://openalex.org/keywords/forecasting","display_name":"Forecasting","score":0.522038},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.44419438}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.73323756},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.71153665},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.703004},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6710259},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.60595345},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5872597},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5433643},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.47949916},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.44419438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4399661},{"id":"https://openalex.org/C50477045","wikidata":"https://www.wikidata.org/wiki/Q1444790","display_name":"Surface runoff","level":2,"score":0.41959152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37142694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29795313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15088317},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0816395},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00366-022-01751-1","pdf_url":null,"source":{"id":"https://openalex.org/S89333158","display_name":"Engineering With Computers","issn_l":"0177-0667","issn":["0177-0667","1435-5663"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.45}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":69,"referenced_works":["https://openalex.org/W1599300385","https://openalex.org/W1842471922","https://openalex.org/W1866876524","https://openalex.org/W1979689284","https://openalex.org/W1986143844","https://openalex.org/W1987102910","https://openalex.org/W1994543581","https://openalex.org/W1998893231","https://openalex.org/W2003180829","https://openalex.org/W2004012112","https://openalex.org/W2014034374","https://openalex.org/W2014181236","https://openalex.org/W2025651937","https://openalex.org/W2037490455","https://openalex.org/W2039838658","https://openalex.org/W2057262486","https://openalex.org/W2058998445","https://openalex.org/W2065814117","https://openalex.org/W2072697915","https://openalex.org/W2077831453","https://openalex.org/W2104634417","https://openalex.org/W2111072639","https://openalex.org/W2113242816","https://openalex.org/W2117014758","https://openalex.org/W2120304879","https://openalex.org/W2120734368","https://openalex.org/W2136093832","https://openalex.org/W2151685967","https://openalex.org/W2155806188","https://openalex.org/W2262639697","https://openalex.org/W2330820318","https://openalex.org/W2510289107","https://openalex.org/W2515678693","https://openalex.org/W2584156502","https://openalex.org/W2588810797","https://openalex.org/W2597970394","https://openalex.org/W2607097720","https://openalex.org/W2760512452","https://openalex.org/W2765198615","https://openalex.org/W2768001427","https://openalex.org/W2791896807","https://openalex.org/W2800887117","https://openalex.org/W2808998311","https://openalex.org/W2900276876","https://openalex.org/W2903524839","https://openalex.org/W2904793790","https://openalex.org/W2905485021","https://openalex.org/W2911964244","https://openalex.org/W2924738385","https://openalex.org/W2942855061","https://openalex.org/W2953521532","https://openalex.org/W2962010900","https://openalex.org/W2968408503","https://openalex.org/W2970602317","https://openalex.org/W2971818119","https://openalex.org/W2976386567","https://openalex.org/W2998585397","https://openalex.org/W3007372356","https://openalex.org/W3013533105","https://openalex.org/W3024360037","https://openalex.org/W3038159662","https://openalex.org/W3039898056","https://openalex.org/W3042464261","https://openalex.org/W3045487311","https://openalex.org/W3088080896","https://openalex.org/W3092080886","https://openalex.org/W3118577024","https://openalex.org/W3151640016","https://openalex.org/W3198273358"],"related_works":["https://openalex.org/W4320801951","https://openalex.org/W4319777965","https://openalex.org/W4308293735","https://openalex.org/W4298012357","https://openalex.org/W4285733885","https://openalex.org/W4226117484","https://openalex.org/W3208169454","https://openalex.org/W3177321454","https://openalex.org/W3036530763","https://openalex.org/W2896110774"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4308293735","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2024-11-21T04:50:00.796586","created_date":"2022-11-10"}
