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https://ptsldigital.ukm.my/jspui/handle/123456789/487297| Title: | Optimal Operation Of Water Supply Reservoir Through Augmented ANN-MSDP Model |
| Authors: | Sabah Saadi Fayaed (P52304) |
| Supervisor: | Ahmed Elshafie, Associate Prof. Dr. |
| Keywords: | Optimal Operation Of Water Supply Reservoir Water Supply Reservoir Operation Water Supply Reservoir Through Augmented ANN-MSDP Model ANN-MSDP Model Dynamic programming |
| Issue Date: | 6-Sep-2013 |
| Description: | Stochastic Dynamic Programming (SDP) has often been a useful technique for identifying the optimal operating policies for reservoirs. The stochastic nature of in-flows is usually described by an order one Markov process, of which the current inflow is conditioned on the preceding inflow, and represented by a transition probability Pr(Qt+1/Qt). An important controversy in the literature of stochastic reservoir optimizations, as well as that of stream flow modeling, concerns the appropriateness of using order one Markov process to describe the inflow sequence. Theoretically, these previous inflows can be treated as state variables to be included in the SDP formulation. However, this addition of state variables yields a mathematical formulation that is impractical to solve due to the curse of dimensionality" inherent in the SDP formulation. In this study |
| Pages: | 160 |
| Call Number: | T57.83 .F348 2013 3 |
| Publisher: | UKM, Bangi |
| Appears in Collections: | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_75046+Source01+Source010.PDF Restricted Access | 4.99 MB | Adobe PDF |  View/Open |
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