{"id":"https://openalex.org/W4366976623","doi":"https://doi.org/10.1007/s12145-023-01011-w","title":"Machine learning model combined with CEEMDAN algorithm for monthly precipitation prediction","display_name":"Machine learning model combined with CEEMDAN algorithm for monthly precipitation prediction","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4366976623","doi":"https://doi.org/10.1007/s12145-023-01011-w"},"language":"en","primary_location":{"id":"doi:10.1007/s12145-023-01011-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-023-01011-w","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-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/A5026938152","display_name":"Zi-yi Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zi-yi Shen","raw_affiliation_strings":["School of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030231711","display_name":"Wenchao Ban","orcid":"https://orcid.org/0000-0001-7503-3825"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-chao Ban","raw_affiliation_strings":["School of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Engineering Equipment, Zhejiang Ocean University, Zhoushan, 316000, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026938152"],"corresponding_institution_ids":["https://openalex.org/I31847773"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":2.3312,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87616541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"1821","last_page":"1833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9975000023841858,"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 Forecasting Using AI","score":0.9975000023841858,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7756286859512329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6750514507293701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5895377397537231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5639840364456177},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.5368120670318604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5145142078399658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47658416628837585},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4569843113422394},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.41155216097831726},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3982747793197632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3615950345993042}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7756286859512329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6750514507293701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5895377397537231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5639840364456177},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.5368120670318604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5145142078399658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47658416628837585},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4569843113422394},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.41155216097831726},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3982747793197632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3615950345993042},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12145-023-01011-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-023-01011-w","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1212289281","https://openalex.org/W2805187526","https://openalex.org/W2912032242","https://openalex.org/W2922950277","https://openalex.org/W2939452127","https://openalex.org/W2981112632","https://openalex.org/W3005002407","https://openalex.org/W3005050847","https://openalex.org/W3006510575","https://openalex.org/W3149565122","https://openalex.org/W3153985138","https://openalex.org/W3157142052","https://openalex.org/W3184180216","https://openalex.org/W3217499212","https://openalex.org/W4220823956","https://openalex.org/W4225080745","https://openalex.org/W4229002087","https://openalex.org/W4229332606","https://openalex.org/W4281645000","https://openalex.org/W4292553595","https://openalex.org/W4296397378","https://openalex.org/W4303614375","https://openalex.org/W4309338752","https://openalex.org/W4313407500","https://openalex.org/W6600654476"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760","https://openalex.org/W4312309719","https://openalex.org/W3115491726","https://openalex.org/W4313123484","https://openalex.org/W4386362517","https://openalex.org/W2146461990"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}