Real‐time transmission switching with neural networks von Bugaje, Al‐Amin B., Cremer, Jochen L., Strbac, Goran

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From Optimization-Based Machine Learning to Interpretable Security Rules for Operation von Cremer, Jochen L., Konstantelos, Ioannis, Strbac, Goran

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Transient Stable Corrective Control Using Neural Lyapunov Learning von Bellizio, Federica, Cremer, Jochen L., Strbac, Goran

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Data-Driven Power System Operation: Exploring the Balance Between Cost and Risk von Cremer, Jochen L., Konstantelos, Ioannis, Tindemans, Simon H., Strbac, Goran

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A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment von Zhang, Tingqi, Sun, Mingyang, Cremer, Jochen L., Zhang, Ning, Strbac, Goran, Kang, Chongqing

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A causality based feature selection approach for data-driven dynamic security assessment von Bellizio, Federica, Cremer, Jochen L., Sun, Mingyang, Strbac, Goran

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Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market von Bellizio, Federica, Xu, Wangkun, Qiu, Dawei, Ye, Yujian, Papadaskalopoulos, Dimitrios, Cremer, Jochen L., Teng, Fei, Strbac, Goran

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Deep Statistical Solver for Distribution System State Estimation von Habib, Benjamin, Isufi, Elvin, Breda, Ward van, Jongepier, Arjen, Cremer, Jochen L.

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Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes von Zhang, Qi, Cremer, Jochen L., Grossmann, Ignacio E., Sundaramoorthy, Arul, Pinto, Jose M.

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Selecting decision trees for power system security assessment von Bugaje, Al-Amin B., Cremer, Jochen L., Sun, Mingyang, Strbac, Goran

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A machine-learning based probabilistic perspective on dynamic security assessment von Cremer, Jochen L., Strbac, Goran

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More than accuracy: end-to-end wind power forecasting that optimises the energy system von Wahdany, Dariush, Schmitt, Carlo, Cremer, Jochen L.

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Machine-learned security assessment for changing system topologies von Bellizio, Federica, Cremer, Jochen L., Strbac, Goran

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Dynamic Incremental Learning for real-time disturbance event classification von Veerakumar, Nidarshan, Cremer, Jochen L., Popov, Marjan

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Constraint-driven deep learning for N-k security constrained optimal power flow von Giraud, Bastien N., Rajaei, Ali, Cremer, Jochen L.

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Learning a reward function for user-preferred appliance scheduling von Čović, Nikolina, Cremer, Jochen L., Pandžić, Hrvoje

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Non-stationarity in multiagent reinforcement learning in electricity market simulation von Renshaw-Whitman, Charles, Zobernig, Viktor, Cremer, Jochen L., de Vries, Laurens

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Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions von Bugaje, Al-Amin B., Cremer, Jochen L., Strbac, Goran

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Split-based sequential sampling for realtime security assessment von Bugaje, Al-Amin B., Cremer, Jochen L., Strbac, Goran

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