Jochen Cremer

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Goran StrbacProfessor of Energy Systems, Imperial College LondonEmail yang diverifikasi di imperial.ac.uk
Ioannis KonstantelosResearch Fellow at Imperial College LondonEmail yang diverifikasi di imperial.ac.uk
Federica BellizioEmpa - Swiss Federal Laboratories for Materials Science and TechnologyEmail yang diverifikasi di empa.ch
Mingyang SunProfessor (Research), Peking University, Imperial College LondonEmail yang diverifikasi di pku.edu.cn
Al-Amin Bashir BugajeImperial College LondonEmail yang diverifikasi di imperial.ac.uk
Antoine MarotLead AI Scientific at RTEEmail yang diverifikasi di rte-france.com
Simon TindemansTU DelftEmail yang diverifikasi di tudelft.nl
Marco PauFraunhofer Institute for Energy Economics and Energy System TechnologyEmail yang diverifikasi di iee.fraunhofer.de
Antonello MontiRWTH Aachen UniversityEmail yang diverifikasi di eonerc.rwth-aachen.de
Ferdinanda PonciRWTH Aachen UniversityEmail yang diverifikasi di eonerc.rwth-aachen.de
Matija NaglicDr.Email yang diverifikasi di tudelft.nl
Adrian KellyPrincipal Technical Leader, Electric Power Research InstituteEmail yang diverifikasi di epri.com
Alexandru StefanovAssociate Professor, TU Delft, NetherlandsEmail yang diverifikasi di tudelft.nl
Ignacio E. GrossmannCarnegie Mellon UniversityEmail yang diverifikasi di cmu.edu
Jose PintoPraxair Inc.Email yang diverifikasi di praxair.com
Qi ZhangDepartment of Chemical Engineering and Materials Science, University of MinnesotaEmail yang diverifikasi di umn.edu
Chongqing KangProfessor, Tsinghua University, ChinaEmail yang diverifikasi di tsinghua.edu.cn
Ning ZhangTsinghua UniversityEmail yang diverifikasi di tsinghua.edu.cn
Tingqi ZhangState Grid LiaoningEmail yang diverifikasi di imperial.ac.uk
Qiuhua HuangAssociate Professor, Colorado School of MinesEmail yang diverifikasi di mines.edu

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Jochen Cremer

TU Delft

Email yang diverifikasi di tudelft.nl - Beranda

Power Systems Operation Machine Learning Mathematical Optimisation


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
From optimization-based machine learning to interpretable security rules for operation JL Cremer, I Konstantelos, G Strbac IEEE Transactions on Power Systems 34 (5), 3826-3836, 2019	104	2019
Perspectives on future power system control centers for energy transition A Marot, A Kelly, M Naglic, V Barbesant, J Cremer, A Stefanov, J Viebahn Journal of Modern Power Systems and Clean Energy 10 (2), 328-344, 2022	91	2022
A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration M Sun, J Cremer, G Strbac Applied energy 228, 546-555, 2018	89	2018
Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes Q Zhang, JL Cremer, IE Grossmann, A Sundaramoorthy, JM Pinto Computers & chemical engineering 86, 90-105, 2016	76	2016
Data-driven power system operation: Exploring the balance between cost and risk JL Cremer, I Konstantelos, SH Tindemans, G Strbac IEEE Transactions on Power Systems 34 (1), 791-801, 2018	73	2018
A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment T Zhang, M Sun, J Cremer, N Zhang, G Strbac, C Kang IEEE Transactions on Power Systems, 2021	57	2021
A machine-learning based probabilistic perspective on dynamic security assessment JL Cremer, G Strbac International Journal of Electrical Power & Energy Systems 128, 106571, 2021	48	2021
Learning to run a power network with trust A Marot, B Donnot, K Chaouache, A Kelly, Q Huang, RR Hossain, ... Electric Power Systems Research 212, 108487, 2022	41	2022
More than accuracy: end-to-end wind power forecasting that optimises the energy system D Wahdany, C Schmitt, JL Cremer Electric Power Systems Research 221, 109384, 2023	36	2023
State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data FRS Sevilla, Y Liu, E Barocio, P Korba, M Andrade, F Bellizio, J Bos, ... International journal of electrical power & energy systems 137, 107772, 2022	32	2022
A causality based feature selection approach for data-driven dynamic security assessment F Bellizio, JL Cremer, M Sun, G Strbac Electric Power Systems Research 201, 2021	25	2021
Optimal scheduling of heat pumps for power peak shaving and customers thermal comfort JL Cremer, M Pau, F Ponci, A Monti International Conference on Smart Cities and Green ICT Systems 2, 23-34, 2017	25	2017
Machine-learned security assessment for changing system topologies F Bellizio, JL Cremer, G Strbac International Journal of Electrical Power & Energy Systems 134, 107380, 2022	21	2022
Selecting decision trees for power system security assessment AAB Bugaje, JL Cremer, M Sun, G Strbac Energy and AI 6, 100110, 2021	21	2021
Transition to digitalized paradigms for security control and decentralized electricity market F Bellizio, W Xu, D Qiu, Y Ye, D Papadaskalopoulos, JL Cremer, F Teng, ... Proceedings of the IEEE 111 (7), 744-761, 2022	19	2022
Impact of customers flexibility in heat pumps scheduling for demand side management M Pau, JL Cremer, F Ponci, A Monti 2017 IEEE International Conference on Environment and Electrical Engineering …, 2017	19	2017
Verifying machine learning conclusions for securing low inertia systems F Bellizio, AAB Bugaje, JL Cremer, G Strbac Sustainable Energy, Grids and Networks 30, 100656, 2022	17	2022
Deep Statistical Solver for Distribution System State Estimation B Habib, E Isufi, W van Breda, A Jongepier, JL Cremer IEEE Transactions on Power Systems, 2023	15	2023
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response J van Tilburg, LC Siebert, JL Cremer IEEE PowerTech 2023, 2023	13	2023
Sample-derived disjunctive rules for secure power system operation JL Cremer, I Konstantelos, G Strbac, SH Tindemans 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018	13	2018

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