78 citations · 146 across the 7 of their papers we have counts for
9 papers
Ammonia, Methane, Hydrogen and Methanol Produced in Remote Renewable Energy Hubs: a Comparative Quantitative Analysis
Antoine Larbanois, Victor Dachet, Antoine Dubois +2
Remote renewable energy hubs (RREHs) for synthetic fuel production are engineering systems harvesting renewable energy where it is particularly abundant. They produce transportable…
Remote Renewable Energy Hubs: a Taxonomy
Victor Dachet, Antoine Dubois, Bardhyl Miftari +2
Serving the energy demand with renewable energy is hindered by its limited availability near load centres (i.e. places where the energy demand is high). To address this challenge,…
Towards CO2 valorization in a multi remote renewable energy hub framework
Victor Dachet, Amina Benzerga, Raphaël Fonteneau +1
In this paper, we propose a multi-RREH (Remote Renewable Energy Hub) based optimization framework. This framework allows a valorization of CO2 using carbon capture technologies. Th…
Assessing the Impact of Offshore Wind Siting Strategies on the Design of the European Power System
David Radu, Mathias Berger, Antoine Dubois +5
This paper provides a detailed account of the impact of different offshore wind siting strategies on the design of the European power system. To this end, a two-stage method is pro…
Critical Time Windows for Renewable Resource Complementarity Assessment
Mathias Berger, David Radu, Raphael Fonteneau +7
This paper proposes a systematic framework to assess the complementarity of renewable resources over arbitrary geographical scopes and temporal scales which is particularly well-su…
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes
David Radu, Mathias Berger, Raphaël Fonteneau +6
Current global environmental challenges require vigorous and diverse actions in the energy sector. One solution that has recently attracted interest consists in harnessing high-qua…
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent Francois-Lavet, Guillaume Rabusseau, Joelle Pineau +2
This paper provides an analysis of the tradeoff between asymptotic bias (suboptimality with unlimited data) and overfitting (additional suboptimality due to limited data) in the co…
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies
Vincent François-Lavet, Raphael Fonteneau, Damien Ernst
Using deep neural nets as function approximator for reinforcement learning tasks have recently been shown to be very powerful for solving problems approaching real-world complexity…
Simultaneous Perturbation Algorithms for Batch Off-Policy Search
Raphael Fonteneau, L. A. Prashanth
We propose novel policy search algorithms in the context of off-policy, batch mode reinforcement learning (RL) with continuous state and action spaces. Given a batch collection of…