A reinforcement learning algorithm for operations planning of a hydroelectric power multireservoir system
The main objective of reservoir operations planning is to determine the optimum operation policies that maximize the expected value of the system resources over the planning horizon. This control problem is challenged with different sources of uncertainty that a reservoir system planner has to de...
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| Language: | English |
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University of British Columbia
2011
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| Online Access: | http://hdl.handle.net/2429/30702 |