Data-Driven Generation of Mixed-Integer Linear Programming Formulations for Model Predictive Control of Hybrid Energy Storage Systems using detailed nonlinear Simulation Models-Reference-Cited by-同舟云学术

Data-Driven Generation of Mixed-Integer Linear Programming Formulations for Model Predictive Control of Hybrid Energy Storage Systems using detailed nonlinear Simulation Models

Published:2022-04-04 Issue: Volume: Page:
ISSN:
Container-title:2022 Open Source Modelling and Simulation of Energy Systems (OSMSES)
language:
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Author:

Holtwerth Alexander¹,Xhonneux Andre¹,Muller Dirk²

Affiliation:

1. Forschungszentrum Jülich,Energy Systems Engineering (IEK-10),Jülich,Germany

2. RWTH Aachen University,E.ON ERC, Institute for Energy Efficient Buildings and Indoor Climate,Aachen,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9768881/9768920/09769104.pdf?arnumber=9769104

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5. Multiobjective Optimization and Data-Driven Constraint Adaptive Predictive Control for Efficient and Stable Operation of PEMFC System;li;IEEE Transactions on Industrial Electronics,2020

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