{"id":"https://openalex.org/W2892801015","doi":"https://doi.org/10.1504/ijshc.2018.10016417","title":"Combined forecasting model of urban water consumption based on adaptive filtering and BP neural network","display_name":"Combined forecasting model of urban water consumption based on adaptive filtering and BP neural network","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2892801015","doi":"https://doi.org/10.1504/ijshc.2018.10016417","mag":"2892801015"},"language":"en","primary_location":{"id":"doi:10.1504/ijshc.2018.10016417","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijshc.2018.10016417","pdf_url":null,"source":{"id":"https://openalex.org/S4210227273","display_name":"International Journal of Social and Humanistic Computing","issn_l":"1752-6124","issn":["1752-6124","1752-6132"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Social and Humanistic Computing","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/A5057424068","display_name":"Fuchen Ban","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuchen Ban","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052349888","display_name":"Dan Wu","orcid":"https://orcid.org/0000-0002-2395-8751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003081021","display_name":"Yueming Hei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yueming Hei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5478,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67406672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":"1","first_page":"34","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.8125,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.8125,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7530156970024109},{"id":"https://openalex.org/keywords/water-consumption","display_name":"Water consumption","score":0.5446414947509766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5413093566894531},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4731793701648712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4371849000453949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.373504638671875},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3645484447479248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3367944359779358},{"id":"https://openalex.org/keywords/water-resource-management","display_name":"Water resource management","score":0.14700746536254883},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.14349228143692017}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7530156970024109},{"id":"https://openalex.org/C2982944804","wikidata":"https://www.wikidata.org/wiki/Q26534","display_name":"Water consumption","level":2,"score":0.5446414947509766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5413093566894531},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4731793701648712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4371849000453949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.373504638671875},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3645484447479248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3367944359779358},{"id":"https://openalex.org/C524765639","wikidata":"https://www.wikidata.org/wiki/Q1501619","display_name":"Water resource management","level":1,"score":0.14700746536254883},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.14349228143692017},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijshc.2018.10016417","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijshc.2018.10016417","pdf_url":null,"source":{"id":"https://openalex.org/S4210227273","display_name":"International Journal of Social and Humanistic Computing","issn_l":"1752-6124","issn":["1752-6124","1752-6132"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Social and Humanistic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2363394879","https://openalex.org/W2349491863","https://openalex.org/W2391251536","https://openalex.org/W2352593301","https://openalex.org/W2362442652","https://openalex.org/W2355350486","https://openalex.org/W2220651985","https://openalex.org/W2362198218","https://openalex.org/W1997864015"],"abstract_inverted_index":{"In":[0,53],"order":[1,54],"to":[2,25,45,55],"solve":[3],"the":[4,8,16,26,33,39,47,51,57,60,79,83],"problem":[5],"of":[6,10,18,30,59],"improving":[7],"precision":[9],"urban":[11],"short-term":[12],"water":[13,27,48],"consumption":[14],"forecasting,":[15],"idea":[17],"combination":[19,68],"forecasting":[20,62,69,85],"is":[21],"put":[22],"forward.":[23],"According":[24],"use":[28,49],"data":[29],"a":[31,67],"city,":[32],"time":[34],"series":[35],"prediction":[36,41,81],"method":[37,42,70],"and":[38,90],"explanatory":[40],"are":[43],"used":[44],"forecast":[46],"in":[50],"short-term.":[52],"combine":[56],"advantages":[58],"two":[61],"methods,":[63],"this":[64],"paper":[65],"proposes":[66],"based":[71],"on":[72],"weight":[73],"coefficient":[74],"optimisation":[75],"theory.":[76],"Compared":[77],"with":[78],"single":[80],"model,":[82],"combined":[84],"model":[86],"has":[87],"higher":[88],"accuracy":[89],"stability.":[91]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
