K Ponnambalam
Affiliations: | University of Waterloo, Waterloo, ON, Canada |
Area:
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"K Ponnambalam"
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Publications
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| Celeste AB, Cai X, Ponnambalam K, et al. (2020) New Considerations for a Reservoir Capacity Optimizer That Accounts for Failure Risks Journal of Water Resources Planning and Management. 146: 06020003 |
| Gavahi K, Mousavi SJ, Ponnambalam K. (2019) Adaptive forecast-based real-time optimal reservoir operations: application to Lake Urmia Journal of Hydroinformatics. 21: 908-924 |
| Ma Z, Zhu J, Ponnambalam K, et al. (2019) A clustering method for large-scale group decision-making with multi-stage hesitant fuzzy linguistic terms Information Fusion. 50: 231-250 |
| Alizadeh H, Mousavi SJ, Ponnambalam K. (2018) Copula‐Based Chance‐Constrained Hydro‐Economic Optimization Model for Optimal Design of Reservoir‐Irrigation District Systems under Multiple Interdependent Sources of Uncertainty Water Resources Research. 54: 5763-5784 |
| Ahmadi T, Mahootchi M, Ponnambalam K. (2018) Optimal randomized ordering policies for a capacitated two-echelon distribution inventory system Computers & Industrial Engineering. 124: 88-99 |
| Hosseinzade Z, Pagsuyoin SA, Ponnambalam K, et al. (2017) Decision-making in irrigation networks: Selecting appropriate canal structures using multi-attribute decision analysis. The Science of the Total Environment. 601: 177-185 |
| Narayan A, Ponnambalam K. (2017) Risk-averse stochastic programming approach for microgrid planning under uncertainty Renewable Energy. 101: 399-408 |
| Eajal AA, Shaaban MF, Ponnambalam K, et al. (2016) Stochastic Centralized Dispatch Scheme for AC/DC Hybrid Smart Distribution Systems Ieee Transactions On Sustainable Energy. 7: 1046-1059 |
| Hanafizadeh P, Qahi AHM, Ponnambalam K. (2015) Robust Option through Binomial Tree Method International Journal of Strategic Decision Sciences. 6: 42-53 |
| Mousavi SJ, Alizadeh H, Ponnambalam K. (2014) Storage-yield analysis of surface water reservoirs: the role of reliability constraints and operating policies Stochastic Environmental Research and Risk Assessment. 28: 2051-2061 |