{"id":"https://openalex.org/W4390100296","doi":"https://doi.org/10.25130/tjes.30.4.9","title":"Application of Machine Learning for Daily Forecasting Dam Water Levels","display_name":"Application of Machine Learning for Daily Forecasting Dam Water Levels","publication_year":2023,"publication_date":"2023-11-25","ids":{"openalex":"https://openalex.org/W4390100296","doi":"https://doi.org/10.25130/tjes.30.4.9"},"language":"en","primary_location":{"id":"doi:10.25130/tjes.30.4.9","doi":"https://doi.org/10.25130/tjes.30.4.9","is_oa":true,"landing_page_url":"https://doi.org/10.25130/tjes.30.4.9","pdf_url":"https://tj-es.com/ojs/index.php/tjes/article/download/1399/1076","source":{"id":"https://openalex.org/S2764557316","display_name":"Tikrit Journal of Engineering Sciences","issn_l":"1813-162X","issn":["1813-162X","2312-7589"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310319171","host_organization_name":"University of Tikrit","host_organization_lineage":["https://openalex.org/P4310319171"],"host_organization_lineage_names":["University of Tikrit"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tikrit Journal of Engineering Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://tj-es.com/ojs/index.php/tjes/article/download/1399/1076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045280736","display_name":"Mohammad Abdullah Almubaidin","orcid":"https://orcid.org/0000-0002-8937-1777","observed_orcids":["https://orcid.org/0000-0002-8937-1777"]},"institutions":[{"id":"https://openalex.org/I79156528","display_name":"Universiti Tenaga Nasional","ror":"https://ror.org/03kxdn807","country_code":"MY","type":"education","lineage":["https://openalex.org/I79156528","https://openalex.org/I874769580"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohammad Abdullah Almubaidin","raw_affiliation_strings":["Institute of Energy Infrastructure (IEI) and Department of Civil Engineering, University Tenaga Nasional (UNITEN), Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-8937-1777","affiliations":[{"raw_affiliation_string":"Institute of Energy Infrastructure (IEI) and Department of Civil Engineering, University Tenaga Nasional (UNITEN), Selangor, Malaysia","institution_ids":["https://openalex.org/I79156528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010789167","display_name":"Ali Najah Ahmed","orcid":"https://orcid.org/0000-0002-5618-6663","observed_orcids":["https://orcid.org/0000-0002-5618-6663"]},"institutions":[{"id":"https://openalex.org/I79156528","display_name":"Universiti Tenaga Nasional","ror":"https://ror.org/03kxdn807","country_code":"MY","type":"education","lineage":["https://openalex.org/I79156528","https://openalex.org/I874769580"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Ali Najah Ahmed","raw_affiliation_strings":["Institute of Energy Infrastructure (IEI) and Department of Civil Engineering, University Tenaga Nasional (UNITEN), Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5618-6663","affiliations":[{"raw_affiliation_string":"Institute of Energy Infrastructure (IEI) and Department of Civil Engineering, University Tenaga Nasional (UNITEN), Selangor, Malaysia","institution_ids":["https://openalex.org/I79156528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093559160","display_name":"Chris Aaron Anak Winston","orcid":"https://orcid.org/0009-0002-8173-9546","observed_orcids":["https://orcid.org/0009-0002-8173-9546"]},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Chris Aaron Anak Winston","raw_affiliation_strings":["Department of Civil Engineering, Faculty of Engineering, University Malaya, Malaysia"],"raw_orcid":"https://orcid.org/0009-0002-8173-9546","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Faculty of Engineering, University Malaya, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008179908","display_name":"Ahmed El\u2010Shafie","orcid":"https://orcid.org/0000-0001-5018-8505","observed_orcids":["https://orcid.org/0000-0001-5018-8505"]},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Ahmed El-Shafie","raw_affiliation_strings":["Department of Civil Engineering, Faculty of Engineering, University Malaya, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-5018-8505","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Faculty of Engineering, University Malaya, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008179908","https://openalex.org/A5010789167","https://openalex.org/A5045280736","https://openalex.org/A5093559160"],"corresponding_institution_ids":["https://openalex.org/I33849332","https://openalex.org/I79156528"],"apc_list":null,"apc_paid":null,"fwci":0.389,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.48487619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"30","issue":"4","first_page":"74","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":1.0,"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":1.0,"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/T10969","display_name":"Water resources management and optimization","score":0.0,"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"}},{"id":"https://openalex.org/T14427","display_name":"Environmental Monitoring and Data Management","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/machine-learning","display_name":"machine learning","score":0.6899999976158142},{"id":"https://openalex.org/keywords/bagged-trees","display_name":"bagged trees","score":0.8109999895095825},{"id":"https://openalex.org/keywords/hydrological-forecasting","display_name":"hydrological forecasting","score":0.621999979019165},{"id":"https://openalex.org/keywords/water-supply-management","display_name":"water supply management","score":0.7110000252723694}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5701375603675842},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.566901683807373},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5321525931358337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5221643447875977},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4700770676136017},{"id":"https://openalex.org/C1284942","wikidata":"https://www.wikidata.org/wiki/Q1929501","display_name":"Water level","level":2,"score":0.46945852041244507},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46895045042037964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45389601588249207},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4213681221008301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4192190170288086},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3665813207626343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34455910325050354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18452152609825134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12774589657783508},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07531660795211792},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.25130/tjes.30.4.9","doi":"https://doi.org/10.25130/tjes.30.4.9","is_oa":true,"landing_page_url":"https://doi.org/10.25130/tjes.30.4.9","pdf_url":"https://tj-es.com/ojs/index.php/tjes/article/download/1399/1076","source":{"id":"https://openalex.org/S2764557316","display_name":"Tikrit Journal of Engineering Sciences","issn_l":"1813-162X","issn":["1813-162X","2312-7589"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310319171","host_organization_name":"University of Tikrit","host_organization_lineage":["https://openalex.org/P4310319171"],"host_organization_lineage_names":["University of Tikrit"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tikrit Journal of Engineering Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:da84d49fbcb749e99a3a3b2a90175768","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/da84d49fbcb749e99a3a3b2a90175768","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tikrit Journal of Engineering Sciences, Vol 30, Iss 4 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.25130/tjes.30.4.9","doi":"https://doi.org/10.25130/tjes.30.4.9","is_oa":true,"landing_page_url":"https://doi.org/10.25130/tjes.30.4.9","pdf_url":"https://tj-es.com/ojs/index.php/tjes/article/download/1399/1076","source":{"id":"https://openalex.org/S2764557316","display_name":"Tikrit Journal of Engineering Sciences","issn_l":"1813-162X","issn":["1813-162X","2312-7589"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310319171","host_organization_name":"University of Tikrit","host_organization_lineage":["https://openalex.org/P4310319171"],"host_organization_lineage_names":["University of Tikrit"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tikrit Journal of Engineering Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8571000099182129}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390100296.pdf","grobid_xml":"https://content.openalex.org/works/W4390100296.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2041641186","https://openalex.org/W2336658107","https://openalex.org/W2547907406","https://openalex.org/W2789885647","https://openalex.org/W2805642390","https://openalex.org/W2905485021","https://openalex.org/W2970109616","https://openalex.org/W2981586399","https://openalex.org/W3010165022","https://openalex.org/W3014114490","https://openalex.org/W3031031763","https://openalex.org/W3119495940","https://openalex.org/W3166587882","https://openalex.org/W3171370139","https://openalex.org/W3177043771","https://openalex.org/W3186766703","https://openalex.org/W3199063975","https://openalex.org/W3201542965","https://openalex.org/W3207848089","https://openalex.org/W4210386847","https://openalex.org/W4210500507","https://openalex.org/W4214950600","https://openalex.org/W4220665090","https://openalex.org/W4221078153","https://openalex.org/W4281669931","https://openalex.org/W4283722433","https://openalex.org/W4284885591","https://openalex.org/W4296906579","https://openalex.org/W4306160455","https://openalex.org/W4309008584","https://openalex.org/W4312142110","https://openalex.org/W4316039505","https://openalex.org/W4328137277","https://openalex.org/W4362630561","https://openalex.org/W4378220442","https://openalex.org/W4379467861","https://openalex.org/W4382652744","https://openalex.org/W4383227059","https://openalex.org/W4384341507","https://openalex.org/W4386087264","https://openalex.org/W4388666219"],"related_works":["https://openalex.org/W4414312493","https://openalex.org/W4397290001","https://openalex.org/W3149818686","https://openalex.org/W7081211208","https://openalex.org/W4403459015","https://openalex.org/W4382601168","https://openalex.org/W7154582436","https://openalex.org/W4400263110","https://openalex.org/W3215079949","https://openalex.org/W4413204969"],"abstract_inverted_index":{"The":[0,112,138],"evolving":[1],"character":[2],"of":[3,84,108,114,131,145,166,173],"the":[4,17,30,81,85,96,106,109,123,135,164,167,171,177,179],"environment":[5],"makes":[6],"it":[7],"challenging":[8],"to":[9,47,72,94,104,152,187,192],"predict":[10,73],"water":[11,76,87,181,193],"levels":[12],"in":[13],"advance.":[14],"Despite":[15],"being":[16],"most":[18],"common":[19],"approach":[20,46],"for":[21],"defining":[22],"hydrologic":[23],"processes":[24],"and":[25,56,99,156],"implementing":[26],"physical":[27],"system":[28],"changes,":[29],"physics-based":[31],"model":[32,126,141,160,175],"has":[33],"some":[34],"practical":[35],"limitations.":[36],"Multiple":[37,89],"studies":[38],"have":[39],"shown":[40],"that":[41,122],"machine":[42,67],"learning,":[43],"a":[44,74],"data-driven":[45],"forecast":[48],"hydrological":[49],"processes,":[50],"brings":[51],"about":[52],"more":[53,58],"reliable":[54],"data":[55,83],"is":[57],"efficient":[59],"than":[60,149],"traditional":[61],"models.":[62],"In":[63],"this":[64,159,174],"study,":[65],"seven":[66,129],"learning":[68],"algorithms":[69],"were":[70,92,102],"developed":[71,110],"dam":[75,86,180],"level":[77,182],"daily":[78],"based":[79],"on":[80,176],"historical":[82],"level.":[88],"input":[90,119,133],"combinations":[91],"investigated":[93],"improve":[95],"model\u2019s":[97],"sensitivity,":[98],"statistical":[100],"indicators":[101],"used":[103],"assess":[105],"reliability":[107],"model.":[111,169],"study":[113],"multiple":[115,118],"models":[116],"with":[117,128],"scenarios":[120],"suggested":[121],"bagged":[124,139],"trees":[125],"trained":[127,168],"days":[130],"lagged":[132],"provided":[134],"highest":[136],"accuracy.":[137],"tree":[140],"achieved":[142],"an":[143],"RMSE":[144],"0.13953,":[146],"taking":[147],"less":[148],"10":[150],"seconds":[151],"train.":[153],"Its":[154],"efficiency":[155],"accuracy":[157],"made":[158,186],"stand":[161],"out":[162],"from":[163],"rest":[165],"With":[170],"deployment":[172],"field,":[178],"predictions":[183],"can":[184],"be":[185],"help":[188],"mitigate":[189],"issues":[190],"relating":[191],"supply.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-12-23T00:00:00"}