{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108708"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108708","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of web-based supporting tools for generic diagnostic reservoir operation","abstract":"Research in the field of reservoir operation has been conducted for decades, ending with numerous numerical simulation and optimization models. However, few models are adopted in real-world applications due to enormous complexity and high computational burden requited by these models. Analytical optimization studies and data-based models have been receiving attention as a complement to numerical models, and the cloud-computing technology is increasingly adopted in building decision support systems to make academic advances accessible to practitioners. In this thesis, a web-based support system for reservoir operation, named diagnostic generic reservoir operation tools (DROT), is developed and deployed for public access. DROT implements generic rules and algorithms derived from analytical studies and general data mining techniques, and provides diagnostic information for a particular reservoir operation problem. In addition, auxiliary functionalities including historical operation data retrieval from public databases and interactive data visualization are also provided within DROT. The operation tools implemented in the current version of DROT are based on several existing publications, and can be used for multiple purposes, such as determining hedge release for water supply reservoir, improving use of forecast information in reservoir operation, and selecting most relevant variables in modeling water resources systems. Besides, the algorithm for operating multi-reservoirs system is also available within DROT. The demonstration of DROT for practical operation cases is provided using synthetic data or case studies from existing publications.","abstract_html":"Research in the field of reservoir operation has been conducted for decades, ending with numerous numerical simulation and optimization models. However, few models are adopted in real-world applications due to enormous complexity and high computational burden requited by these models. Analytical optimization studies and data-based models have been receiving attention as a complement to numerical models, and the cloud-computing technology is increasingly adopted in building decision support systems to make academic advances accessible to practitioners. In this thesis, a web-based support system for reservoir operation, named diagnostic generic reservoir operation tools (DROT), is developed and deployed for public access. DROT implements generic rules and algorithms derived from analytical studies and general data mining techniques, and provides diagnostic information for a particular reservoir operation problem. In addition, auxiliary functionalities including historical operation data retrieval from public databases and interactive data visualization are also provided within DROT. The operation tools implemented in the current version of DROT are based on several existing publications, and can be used for multiple purposes, such as determining hedge release for water supply reservoir, improving use of forecast information in reservoir operation, and selecting most relevant variables in modeling water resources systems. Besides, the algorithm for operating multi-reservoirs system is also available within DROT. The demonstration of DROT for practical operation cases is provided using synthetic data or case studies from existing publications.","abstract_has_math":false,"creators":["Li, Donghui"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Environ Engr in Civil Engr","degree_department":null,"school":null,"contributors":["Cai, Ximing"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-10-07T22:49:59Z","date_published":"2020-10-07T22:49:59Z","updated_at":"2026-07-22T22:24:48Z","subjects":["Web-based tools","Diagnostic reservoir operation"],"languages":["en"],"rights":["Copyright 2020 Donghui Li"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108708","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Cai, Ximing"]},{"key":"dc:creator","label":"Author","values":["Li, Donghui"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-10-07T22:49:59Z","2022-10-07T22:50:13Z","2020-07-20","2020-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Environ Engr in Civil Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Web-based tools","Diagnostic reservoir operation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Donghui Li"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108708"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Research in the field of reservoir operation has been conducted for decades, ending with numerous numerical simulation and optimization models. However, few models are adopted in real-world applications due to enormous complexity and high computational burden requited by these models. Analytical optimization studies and data-based models have been receiving attention as a complement to numerical models, and the cloud-computing technology is increasingly adopted in building decision support systems to make academic advances accessible to practitioners. In this thesis, a web-based support system for reservoir operation, named diagnostic generic reservoir operation tools (DROT), is developed and deployed for public access. DROT implements generic rules and algorithms derived from analytical studies and general data mining techniques, and provides diagnostic information for a particular reservoir operation problem. In addition, auxiliary functionalities including historical operation data retrieval from public databases and interactive data visualization are also provided within DROT. The operation tools implemented in the current version of DROT are based on several existing publications, and can be used for multiple purposes, such as determining hedge release for water supply reservoir, improving use of forecast information in reservoir operation, and selecting most relevant variables in modeling water resources systems. Besides, the algorithm for operating multi-reservoirs system is also available within DROT. The demonstration of DROT for practical operation cases is provided using synthetic data or case studies from existing publications.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-08-01","The student, Donghui Li, accepted the attached license on 2020-07-15 at 11:02.","The student, Donghui Li, submitted this Thesis for approval on 2020-07-15 at 11:15.","This Thesis was approved for publication on 2020-07-20 at 10:29.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15632 on 2020-10-02 at 15:50:52","Made available in DSpace on 2020-10-07T22:49:59Z (GMT). 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However, few models are adopted in real-world applications due to enormous complexity and high computational burden requited by these models. Analytical optimization studies and data-based models have been receiving attention as a complement to numerical models, and the cloud-computing technology is increasingly adopted in building decision support systems to make academic advances accessible to practitioners. In this thesis, a web-based support system for reservoir operation, named diagnostic generic reservoir operation tools (DROT), is developed and deployed for public access. DROT implements generic rules and algorithms derived from analytical studies and general data mining techniques, and provides diagnostic information for a particular reservoir operation problem. In addition, auxiliary functionalities including historical operation data retrieval from public databases and interactive data visualization are also provided within DROT. The operation tools implemented in the current version of DROT are based on several existing publications, and can be used for multiple purposes, such as determining hedge release for water supply reservoir, improving use of forecast information in reservoir operation, and selecting most relevant variables in modeling water resources systems. Besides, the algorithm for operating multi-reservoirs system is also available within DROT. The demonstration of DROT for practical operation cases is provided using synthetic data or case studies from existing publications.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-08-01","The student, Donghui Li, accepted the attached license on 2020-07-15 at 11:02.","The student, Donghui Li, submitted this Thesis for approval on 2020-07-15 at 11:15.","This Thesis was approved for publication on 2020-07-20 at 10:29.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15632 on 2020-10-02 at 15:50:52","Made available in DSpace on 2020-10-07T22:49:59Z (GMT). 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