84 citations · 277 across the 26 of their papers we have counts for
6 papers · 1 filter
Simultaneous mixed-integer dynamic scheduling of processes and their energy systems
Florian Joseph Baader, André Bardow, Manuel Dahmen
Increasingly volatile electricity prices make simultaneous scheduling optimization desirable for production processes and their energy systems. Simultaneous scheduling needs to acc…
Validation Methods for Energy Time Series Scenarios from Deep Generative Models
Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos +3
The design and operation of modern energy systems are heavily influenced by time-dependent and uncertain parameters, e.g., renewable electricity generation, load-demand, and electr…
Dynamic Ramping for Demand Response of Processes and Energy Systems based on Exact Linearization
Florian Joseph Baader, Philipp Althaus, André Bardow +1
The increasing share of volatile renewable electricity production motivates demand response. Substantial potential for demand response is offered by flexible processes and their lo…
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators
Yue Guo, Felix Dietrich, Tom Bertalan +4
We study the learning of numerical algorithms for scientific computing, which combines mathematically driven, handcrafted design of general algorithm structure with a data-driven a…
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
Eike Cramer, Alexander Mitsos, Raul Tempone +1
Neural networks-based learning of the distribution of non-dispatchable renewable electricity generation from sources such as photovoltaics (PV) and wind as well as load demands has…
COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization
Marco Langiu, David Yang Shu, Florian Joseph Baader +7
Existing open-source modeling frameworks dedicated to energy systems optimization typically utilize (mixed-integer) linear programming ((MI)LP) formulations, which lack modeling fr…