Jochen Lorenz Cremer

Delft University of Technology

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Articles (24)

Collaborators (9)

Ali Rajaei

Delft University of Technology

Rene Rusch

Goran Strbac

Imperial College London

UNITED KINGDOM

Carlo Schmitt

RWTH Aachen University

Rouven Berndt

Marjan Popov

Delft University of Technology

José L. Rueda

Delft University of Technology

Jochen Stiasny

Technical University of Denmark

Dawei Qiu

Imperial College London

UNITED KINGDOM

Jochen Lorenz Cremer

Research Interests

Explore related searches

Contact this professor

Articles (24)

Exploring extrapolation of machine learning models for power system time domain simulation

Learning-Accelerated ADMM for Stochastic Power System Scheduling With Numerous Scenarios

Power system frequency monitoring and emergency control with neural ordinary differential equations

Corrective soft bus-bar splitting for reliable operation of hybrid AC/DC grids

Online Neural Dynamics Forecasting for power system security

A hybrid curriculum learning and tree search approach for network topology control

Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems

TensorConvolutionPlus

Constraint-driven deep learning for N-k security constrained optimal power flow

Learning a reward function for user-preferred appliance scheduling

Non-stationarity in multiagent reinforcement learning in electricity market simulation

Game-Theoretic Learning for Power System Dynamic Ancillary Service Provisions

Polynomial Line Outage Distribution Factors for Estimating Expected Congestion and Security

Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems

Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions

More than accuracy: end-to-end wind power forecasting that optimises the energy system

Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market

Real‐time transmission switching with neural networks

Deep Statistical Solver for Distribution System State Estimation

Dynamic Incremental Learning for real-time disturbance event classification

Split-based sequential sampling for realtime security assessment

Progressive cervical tumour in an HIV-patient: giant pseudoaneurysm of the carotid artery: a case report

Verifying Machine Learning conclusions for securing Low Inertia systems

Learning to run a power network with trust

Collaborators (9)

Ali Rajaei

Rene Rusch

Goran Strbac

Carlo Schmitt

Rouven Berndt

Marjan Popov

José L. Rueda

Jochen Stiasny

Dawei Qiu

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