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Dynamic simulator and model predictive control of an integrated solar combined cycle plant
(Pergamon-Elsevier, 2016)
This paper presents the design and evaluation of a dynamic simulator for an ISCC (integrated solar combined cycle) plant. The design of the simulator is based on the phenomenological equations for both a combined cycle ...
Combined use of modeling techniques for the development of the conceptual model in simulation projects
(2008-12-01)
The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques ...
Combined use of modeling techniques for the development of the conceptual model in simulation projects
(2008-12-01)
The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques ...
Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We report the application of the Model-based Predictive Control (MPC) to improve the performance of the start-up of a 150-175 MW combined cycle power plant whose gas turbine is fueled by natural gas. In concrete the ...
Combination of geostatistical simulation and fractal modeling for mineral resource classification
(Elsevier, 2015)
The separation, identification and assessment of high-grade ore zones fromlow-grade ones are extremely important
in mining of metalliferous deposits. A technique that provides reliable results for those purposes is thus ...
Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
(Univ Federal Rural Pernambuco, 2019-01-01)
The aim of this study was to estimate the combined ability and analyze the genetic variance components of synthetic maize populations using diallel crossing with a mixed model approach. Twelve synthetic varieties were ...
Cross-validation based forecasting method: a machine learning approach
(2019-02)
Our paper aims to evaluate two novel methods on selecting the best forecasting model or its combination based on a Machine Learning approach. The methods are based on the selection of the ”best” model, or combination of ...