Globally optimal scheduling of an electrochemical process via data-driven dynamic modeling and wavelet-based adaptive grid refinement
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Publication:6640185
DOI10.1007/s11081-023-09860-6MaRDI QIDQ6640185
Tim Varelmann, Andreas Jupke, Alexander Mitsos, Christian Schröder, Chrysanthi Papadimitriou
Publication date: 18 November 2024
Published in: Optimization and Engineering (Search for Journal in Brave)
adaptive grid refinementHammerstein-Wiener modelglobal dynamic optimizationdemand-side-managementdiscrete-time schedulingelectrified downstream processing
Mathematical programming (90Cxx) Numerical methods for ordinary differential equations (65Lxx) Numerical methods in optimal control (49Mxx)
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