[PDF] Top 20 Robust Optimisation for Hydroelectric System Operation under Uncertainty
Has 10000 "Robust Optimisation for Hydroelectric System Operation under Uncertainty" found on our website. Below are the top 20 most common "Robust Optimisation for Hydroelectric System Operation under Uncertainty".
Robust Optimisation for Hydroelectric System Operation under Uncertainty
... a robust short-term optimal dis- patch framework for a cascade hydroelectric power system tak- ing into account uncertainty in the net load due to renewable- based generation and the inflows ... See full document
13
Robust optimisation of green wireless LANs under rate uncertainty and user mobility
... a robust optimisation approach that incorporates both link capacity fluctuations and UTs mobility under Bertsimas and Sim’s robust optimization paradigm ...discussed. Robust ... See full document
8
A Largest Empty Hypersphere Metaheuristic for Robust Optimisation with Implementation Uncertainty
... of robust optimisation has been primarily aligned with mathematical programming ...reasonable uncertainty sets and the re- formulation of computationally tractable mathematical programming ...convex ... See full document
43
Multi-objective robust trajectory optimisation under epistemic uncertainty and imprecision
... generate robust optimal trajectories for spacecraft equipped with low-thrust propulsion under the effect of epistemic ...of uncertainty is propagated through the system one can calculate the ... See full document
13
Space systems resilience engineering and global system reliability optimisation under imprecision and epistemic uncertainty
... epistemic uncertainty. Resilience can be seen as the ability of a system to adjust its functioning prior to, during, or following changes and disturbances, so that it can sustain required operations ... See full document
13
A methodology for robust multi-train trajectory planning under dwell-time and control-point uncertainty
... DT uncertainty during the optimisation process, but with no CP ...the system (60s) and therefore rarely affect the actual departure ...the optimisation can no longer select genuine ... See full document
39
Robust Converter Control Design under Time-Delay Uncertainty
... the system frequency at the connection terminal, a synchronization unit in the form of a phased-locked loop is included in the ...potential operation modes and respective transient properties can be found ... See full document
7
Robust design optimisation of dynamical space systems
... of uncertainty-based design techniques for aerospace engineering can be found in ...space system design as well. The review discusses the most popular uncertainty modelling approaches including ... See full document
6
Robust Optimization for a Multi Product Integrated Problem of Planning and Scheduling under Products Uncertainty
... of robust optimization. Lin et al. (2004) [12] proposed a robust optimization approach for the scheduling of batch plants under processing times of tasks, market demands of product, prices of ... See full document
9
An Integrated Robust Optimization Model of Capacity Planning under Demand Uncertainty in Electronic Industry
... Geng and Jiang (2009) reviewed the main approaches towards a capacity expansion plan for semiconductor manufacturing industry such as static capacity model (i.e. spreadsheet), neighborhood search method (i.e. simulation- ... See full document
9
Objective function design for robust optimality of linear control under state-constraints and uncertainty
... As regards the perturbation description, the idea of modeling the demand as unknown but bounded variable is in line with some recent literature on robust optimization [8, 10, 14, 20] though the “unknown but ... See full document
23
Development of a Model for Locating Hubs in a Competitive Environment under Uncertainty: A Robust Optimization Approach
... In the next section, the literature review is presented. In section 3, the model of Marianov et al. [1] is developed. Then, to determine the degree of importance of travel time and cost, we introduced a multivariate ... See full document
10
Probabilistical Robust Power Control for Cognitive Radio Networks under Interference Uncertainty Conditions
... Zhiyi Fang (1957-), received the PhD degree in computer science from Jilin Uni- versity, Changchun, China, in 1998, where he is currently a professor of computer science. He was a senior visiting scholar of the ... See full document
18
Modeling of micro hydroelectric system design
... power system that are not connected to the ...hydro system will only bring very slight side effects on environment compared to large scale hydro power ...micro hydroelectric power system can ... See full document
41
Multi-objective optimisation in the presence of uncertainty
... tion instead of n = 3. Both figures show that after only a relatively few iterations a good approximation to the under- lying noise properties is being made by the Bayesian update method. The variability of simply ... See full document
8
Robust Discretionary Monetary Policy under Cost-Push Shock Uncertainty of Iran’s Economy
... always uncertainty about the soundness of an economic model’s structure and ...with uncertainty about the key economic explanatory ...the uncertainty in formulating monetary ...examine robust ... See full document
24
A variance-based estimation of the resilience indices in the preliminary design optimisation of engineering systems under epistemic uncertainty
... of uncertainty and do not account for ...the system requirements, rather than to the occurrence of aleatory events that are due to nature’s inherent ... See full document
9
Robust multi-criteria optimisation of welded joints
... multi-objective optimisation methods on both engineering and mathematical problems, to determine the efficiency of each method and to determine if any particular algorithm performs well over a range of problem ... See full document
243
An Evolutionary Approach to Active Robust Multiobjective Optimisation
... Active Robust Optimisation Problem (AROP) aims at finding robust adaptable solutions, ...Active Robust Optimisation methodology to deal with prob- lems with more than one ... See full document
16
An Assessment of North Carolina's Future Electricity System Under Uncertainty.
... power system operation ...electricity system planning should systematically consider the operational effects of all electricity generating technologies within the entire ...energy system ... See full document
189
Related subjects