Eike Cramer

According to our database, Eike Cramer authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes.

Tai Xuan Tan, Alexander Mitsos, Eike Cramer

CoRR, April, 2026

Bayesian Optimization of Partially Known Systems using Hybrid Models.

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

CoRR, March, 2026

Data-driven conditional flexibility index.

Moritz Wedemeyer, Eike Cramer, Alexander Mitsos, Manuel Dahmen

Comput. Chem. Eng., 2026

Corrigendum to "A Black-Box Adversarial Attack on Demand Side Management" [Computers and Chemical Engineering 186 (2024) 108681].

Clemens Kortmann, Eike Cramer

Comput. Chem. Eng., 2026

2024

Model-Free Stochastic Process Modeling and Optimization using Normalizing Flows.

Eike Cramer

CoRR, 2024

A black-box adversarial attack on demand side management.

Eike Cramer, Ji Gao

Comput. Chem. Eng., 2024

2023

Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows.

Hannes Hilger, Dirk Witthaut, Manuel Dahmen, Leonardo Rydin Gorjão, Julius Trebbien, Eike Cramer

CoRR, 2023

2022

Physics-inspired machine learning for power grid frequency modelling.

Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut

CoRR, 2022

Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows.

Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen

CoRR, 2022

Nonlinear Isometric Manifold Learning for Injective Normalizing Flows.

Eike Cramer, Felix Rauh, Alexander Mitsos, Raúl Tempone, Manuel Dahmen

CoRR, 2022

Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators.

Eike Cramer, Leonard Paeleke, Alexander Mitsos, Manuel Dahmen

Comput. Chem. Eng., 2022

Validation Methods for Energy Time Series Scenarios From Deep Generative Models.

Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, Benjamin Schäfer, Dirk Witthaut, Manuel Dahmen

IEEE Access, 2022

2021

Principal Component Density Estimation for Scenario Generation Using Normalizing Flows.

Eike Cramer, Alexander Mitsos, Raúl Tempone, Manuel Dahmen

CoRR, 2021