Search Results - "CREMER, Jochen"

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

“…Various supervised machine learning approaches have been used in the past to assess the power system security (also known as reliability). This is typically…”
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Transient Stable Corrective Control Using Neural Lyapunov Learning by Bellizio, Federica, Cremer, Jochen L., Strbac, Goran

“…This paper proposes a method to compute corrective control actions for dynamic security in real-time and quantifies the economic value of corrective control…”
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Data-Driven Power System Operation: Exploring the Balance Between Cost and Risk by Cremer, Jochen L., Konstantelos, Ioannis, Tindemans, Simon H., Strbac, Goran

“…Supervised machine learning has been successfully used in the past to infer a system's security boundary by training classifiers (also referred to as security…”
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A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment by Zhang, Tingqi, Sun, Mingyang, Cremer, Jochen L., Zhang, Ning, Strbac, Goran, Kang, Chongqing

“…Dynamic Security Assessment (DSA) for the future power system is expected to be increasingly complicated with the higher level penetration of renewable energy…”
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A causality based feature selection approach for data-driven dynamic security assessment by Bellizio, Federica, Cremer, Jochen L., Sun, Mingyang, Strbac, Goran

“…•A novel causality-based feature selection approach for online dynamic security assessment.•A combination between the causality-based feature selection…”
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Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market by Bellizio, Federica, Xu, Wangkun, Qiu, Dawei, Ye, Yujian, Papadaskalopoulos, Dimitrios, Cremer, Jochen L., Teng, Fei, Strbac, Goran

“…Digitalization is one of the key drivers for energy system transformation. The advances in communication technologies and measurement devices render available…”
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Deep Statistical Solver for Distribution System State Estimation by Habib, Benjamin, Isufi, Elvin, Breda, Ward van, Jongepier, Arjen, Cremer, Jochen L.

“…Implementing accurate Distribution System State Estimation (DSSE) faces several challenges, among which the lack of observability and the high density of the…”
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Perspectives on Future Power System Control Centers for Energy Transition by Antoine Marot, Adrian Kelly, Matija Naglic, Vincent Barbesant, Jochen Cremer, Alexandru Stefanov, Jan Viebahn

“…Today's power systems are seeing a paradigm shift under the energy transition, sparkled by the electrification of demand, digitalisation of systems, and an…”
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Real‐time transmission switching with neural networks by Bugaje, Al‐Amin B., Cremer, Jochen L., Strbac, Goran

“…The classical formulation of the transmission switching problem as a mixed‐integer problem is intractable for large systems in real‐time control settings…”
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Transient Stable Corrective Control Using Neural Lyapunov Learning by Bellizio, Federica, Cremer, Jochen L., Strbac, Goran

“…This paper proposes a method to compute corrective control actions for dynamic security in real-time and quantifies the economic value of corrective control…”
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Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes by Zhang, Qi, Cremer, Jochen L., Grossmann, Ignacio E., Sundaramoorthy, Arul, Pinto, Jose M.

“…•Simultaneously optimize production scheduling and electricity procurement.•Propose MILP stochastic programming model incorporating conditional…”
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Postoperative neurocognitive dysfunction in patients undergoing cardiac surgery after remote ischemic preconditioning: a double-blind randomized controlled pilot study by Meybohm, Patrick, Renner, Jochen, Broch, Ole, Caliebe, Dorothee, Albrecht, Martin, Cremer, Jochen, Haake, Nils, Scholz, Jens, Zacharowski, Kai, Bein, Berthold

“…Remote ischemic preconditioning (RIPC) has been shown to enhance the tolerance of remote organs to cope with a subsequent ischemic event. We hypothesized that…”
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Case report—CARMAT: the first experience with the Aeson bioprosthetic total artificial heart as a bridge to transplantation in a case of post-infarction ventricular septal rupture by Huenges, Katharina, Panholzer, Bernd, Cremer, Jochen, Haneya, Assad

“…Background Post-infarction ventricular septal defects remain one of the most feared complications after myocardial infarction with high mortality rates. In…”
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Sex-specific risk factors for early mortality and survival after surgery of acute aortic dissection type a: a retrospective observational study by Friedrich, Christine, Salem, Mohamed Ahmed, Puehler, Thomas, Hoffmann, Grischa, Lutter, Georg, Cremer, Jochen, Haneya, Assad

“…Abstract Background Although gender-related disparities in cardiovascular surgery have been investigated extensively in the past decades, knowledge about the…”
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Remote ischemic preconditioning attenuates intestinal mucosal damage: insight from a rat model of ischemia-reperfusion injury by Hummitzsch, Lars, Zitta, Karina, Berndt, Rouven, Wong, Yuk Lung, Rusch, Rene, Hess, Katharina, Wedel, Thilo, Gruenewald, Matthias, Cremer, Jochen, Steinfath, Markus, Albrecht, Martin

“…Remote ischemic preconditioning (RIPC) is a phenomenon, whereby repeated, non-lethal episodes of ischemia to an organ or limb exert protection against…”
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Characterization of large extracellular vesicles (L-EV) derived from human regulatory macrophages (Mreg): novel mediators in wound healing and angiogenesis? by Albrecht, Martin, Hummitzsch, Lars, Rusch, Rene, Heß, Katharina, Steinfath, Markus, Cremer, Jochen, Lichte, Frank, Fändrich, Fred, Berndt, Rouven, Zitta, Karina

“…Large extracellular vesicles (L-EV) with a diameter between 1 and 10 µm are released by various cell types. L-EV contain and transport active molecules which…”
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Verifying Machine Learning conclusions for securing Low Inertia systems by Bellizio, Federica, Bugaje, Al-Amin B., Cremer, Jochen L., Strbac, Goran

“…Machine Learning (ML) for real-time Dynamic Security Assessment (DSA) promises a probabilistic approach to secure lower safety margins and costs. However,…”
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Optimized Operation Rules for Imbalanced Classes by Cremer, Jochen L., Konstantelos, Ioannis, Strbac, Goran

“…Supervised machine learning methods were applied to assess the reliability of the power system. Typically, the reliability boundary that defines the operation…”
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Repetitive application of remote ischemic conditioning (RIC) in patients with peripheral arterial occlusive disease (PAOD) as a non-invasive treatment option: study protocol for a randomised controlled clinical trial by Hummitzsch, Lars, Voelckers, Luisa, Rusch, Melanie, Cremer, Jochen, Albrecht, Martin, Rusch, René, Berndt, Rouven

“…Abstract Background The best medical treatment (BMT) for most patients with early stage of peripheral arterial occlusive disease (PAOD) is often limited to…”
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Long-term outcome and quality of life following emergency surgery for acute aortic dissection type A: a comparison between young and elderly adults by Jussli-Melchers, Jill, Panholzer, Bernd, Friedrich, Christine, Broch, Ole, Renner, Jochen, Schöttler, Jan, Rahimi, Aziz, Cremer, Jochen, Schoeneich, Felix, Haneya, Assad

“…Innovations in surgical techniques and perioperative management have continuously improved survival rates for acute aortic dissection type A (AADA). The aim of…”
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