2022 IEEE 17th International Conference on Control &Amp; Automation (ICCA) 2022
DOI: 10.1109/icca54724.2022.9831809
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Model Predictive Control aimed at satisfying the production plan of a hydroelectric plant

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Cited by 2 publications
(4 citation statements)
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“…An example of a KPI to be verified is the service factor, i.e., the time percentage associated with full service of the APC system [6,7]. The service factor can also represent a significant performance metric for the achievement of plant operators' feedback when they are required to use APC systems based on different methodologies and techniques, e.g., model predictive control (MPC) [95][96][97][98][99]. The formulation of mathematical optimization problems associated with control and optimization systems may depend on tailored KPIs, represented by the cost functions to be minimized/maximized.…”
Section: Main Topic Scope Main Findingsmentioning
confidence: 99%
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“…An example of a KPI to be verified is the service factor, i.e., the time percentage associated with full service of the APC system [6,7]. The service factor can also represent a significant performance metric for the achievement of plant operators' feedback when they are required to use APC systems based on different methodologies and techniques, e.g., model predictive control (MPC) [95][96][97][98][99]. The formulation of mathematical optimization problems associated with control and optimization systems may depend on tailored KPIs, represented by the cost functions to be minimized/maximized.…”
Section: Main Topic Scope Main Findingsmentioning
confidence: 99%
“…The reliability of these models can impact the reliability of the models of the upstream devices, e.g., reservoirs. The modelization of reservoirs' levels can be performed using different types of model, e.g., first-principles models [95]. In order to mitigate model uncertainties, suitable model mismatch compensation strategies must be used [96].…”
Section: Modelization For Oandmmentioning
confidence: 99%
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