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Enhancing Energy Management Of A Car Manufacturing Plant Through Modelling And Dynamic Simulation.

, , , and . ECMS, page 259-265. European Council for Modeling and Simulation, (2015)

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Parameters selection in predictive online simulation., , , , , , and . INDIN, page 726-729. IEEE, (2016)Global sensitivity analysis of a feedback-controlled stochastic process model.. Simul. Model. Pract. Theory, (2013)Global potential of green ammonia based on hybrid PV-wind power plants, , , and . Applied Energy, (2021)Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study., , , , , and . Expert Syst. Appl., 41 (5): 2546-2558 (2014)Application of reinforcement learning for energy consumption optimization of district heating system., , , , , , and . ISIE, page 1-6. IEEE, (2023)Using a Digital Twin as the Objective Function for Evolutionary Algorithm Applications in Large Scale Industrial Processes., , , , , and . IEEE Access, (2023)Enhancing Energy Management Of A Car Manufacturing Plant Through Modelling And Dynamic Simulation., , , and . ECMS, page 259-265. European Council for Modeling and Simulation, (2015)Human Factors in Software Projects for Complex Industrial Processes., , , and . IHSI, volume 903 of Advances in Intelligent Systems and Computing, page 517-523. Springer, (2019)District heating temperature control algorithm based on short term weather forecast and consumption predictions., , , , and . ETFA, page 1-8. IEEE, (2016)