145 results on '"Ernst, Damien"'
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2. Matching of everyday power supply and demand with dynamic pricing: Problem formalisation and conceptual analysis
3. Multi-objective near-optimal necessary conditions for multi-sectoral planning
4. Warming up recurrent neural networks to maximise reachable multistability greatly improves learning
5. Distributional reinforcement learning with unconstrained monotonic neural networks
6. Computing necessary conditions for near-optimality in capacity expansion planning problems
7. Siting renewable power generation assets with combinatorial optimisation
8. Assessing the impact of offshore wind siting strategies on the design of the European power system
9. Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems
10. A deep reinforcement learning framework for continuous intraday market bidding
11. An application of deep reinforcement learning to algorithmic trading
12. Network tariffs and the integration of prosumers: The case of Wallonia
13. Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users
14. On the importance of wind predictions in wake steering optimization.
15. The impact of different COVID-19 containment measures on electricity consumption in Europe
16. Critical time windows for renewable resource complementarity assessment
17. Empirical Analysis of Policy Gradient Algorithms where Starting States are Sampled accordingly to Most Frequently Visited States
18. Impact of gate closure time on the efficiency of power systems balancing
19. Complementarity assessment of south Greenland katabatic flows and West Europe wind regimes
20. GBOML: a structure-exploiting optimization modelling language in Python.
21. Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime
22. A SC/battery Hybrid Energy Storage System in the Microgrid
23. Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives
24. Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect
25. Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution
26. Risk-Sensitive Policy with Distributional Reinforcement Learning.
27. The Global Grid
28. Outbound SPIT filter with optimal performance guarantees
29. Sequential decision-making approach for quadrangular mesh generation
30. Assessment of future wind speed and wind power changes over South Greenland using the Modèle Atmosphérique Régional regional climate model.
31. Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments.
32. Approximate dynamic programming with a fuzzy parameterization
33. Apoptosis characterizes immunological failure of HIV infected patients
34. A fair method for centralized optimization of multi-TSO power systems
35. Scenario trees and policy selection for multistage stochastic programming using machine learning
36. Batch mode reinforcement learning based on the synthesis of artificial trajectories
37. Fuzzy Partition Optimization for Approximate Fuzzy Q-iteration
38. Evaluation of network equivalents for voltage optimization in multi-area power systems
39. Reinforcement learning versus model predictive control: a comparison on a power system problem
40. Extremely randomized trees
41. Contingency filtering techniques for preventive security-constrained optimal power flow
42. Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities
43. Reference transmission network: a game theory approach
44. Power systems stability control: reinforcement learning framework
45. Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent.
46. Optimal control formulation of pulse-based control using Koopman operator
47. Artificial intelligence in video games: towards a unified framework
48. A bio-inspired bistable recurrent cell allows for long-lasting memory.
49. Chapter 11: Solving Optimal Control Problems for Monotone Systems Using the Koopman Operator.
50. Introducing neuromodulation in deep neural networks to learn adaptive behaviours.
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