Applications of Stochastic Optimal Control Theory to the    Real-Time Operation of Multireservoir Systems
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'William A. Anderson', 'PO_EMAI': None, 'PO_PHON': None}
The way reservoirs of water are operated plays a crucial role in making         efficient use of the stored water in resolving the often conflicting            demands of flood protection, water supply, and hydropower generation.           In current engineering practice, reservoir systems are usually operated         according to certain rules which are usually determined by trial and            error and tested through simulation studies, without the benefit of             modern systems analysis techniques and high-speed digital computers.            This research project investigates the application of stochastic                optimal control theory to the problems of real time operation of                multi-reservoir systems.
{'FirstName': 'Peter', 'LastName': 'Kitanidis', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter K Kitanidis', 'EmailAddress': 'peterk@stanford.edu', 'PI_PHON': '6507238321', 'NSF_ID': '000089988', 'StartDate': '12/01/1984', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Minnesota Saint Paul', 'CityName': 'Minneapolis', 'ZipCode': '554552000', 'PhoneNumber': '6126252435', 'StreetAddress': '450 University Gateway', 'StreetAddress2': '200 Oak Street SE', 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1474', 'Text': 'NAT & MAN-MADE HAZARD MITIGATI'}
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