30 citations · 111 across the 13 of their papers we have counts for
13 papers
Dynamic sizing of required balancing capacities: the operational approach in France
Jonathan Dumas, Viktor Terrier, Frédéric Bienvenu +2
System operators employ operating reserves to deal with unexpected variations of demand and generation and guarantee the security of supply. However, they face new challenges to en…
Multi-objective near-optimal necessary conditions for multi-sectoral planning
Antoine Dubois, Jonathan Dumas, Paolo Thiran +2
This paper extends the concepts of epsilon-optimal spaces and necessary conditions for near-optimality from single-objective to multi-objective optimisation. These notions are firs…
Denoising diffusion probabilistic models for probabilistic energy forecasting
Esteban Hernandez Capel, Jonathan Dumas
Scenario-based probabilistic forecasts have become vital for decision-makers in handling intermittent renewable energies. This paper presents a recent promising deep learning gener…
The energy return on investment of whole energy systems: application to Belgium
Jonathan Dumas, Antoine Dubois, Paolo Thiran +4
Planning the defossilization of energy systems by facilitating high penetration of renewables and maintaining access to abundant and affordable primary energy resources is a nontri…
Microgrid management with weather-based forecasting of energy generation, consumption and prices
Jonathan Dumas
The Intergovernmental Panel on Climate Change proposes different mitigation strategies to achieve the net emissions reductions that would be required to follow a pathway that limit…
Probabilistic Forecasting of Imbalance Prices in the Belgian Context
Jonathan Dumas, Ioannis Boukas, Miguel Manuel de Villena +2
Forecasting imbalance prices is essential for strategic participation in the short-term energy markets. A novel two-step probabilistic approach is proposed, with a particular focus…
Deep learning-based multi-output quantile forecasting of PV generation
Jonathan Dumas, Colin Cointe, Xavier Fettweis +1
This paper develops probabilistic PV forecasters by taking advantage of recent breakthroughs in deep learning. It tailored forecasting tool, named encoder-decoder, is implemented t…
Stochastic and deterministic formulations for capacity firming nominations
Jonathan Dumas, Bertrand Cornélusse, Antonello Giannitrapani +2
This paper addresses the energy management of a grid-connected photovoltaic plant coupled with a battery energy storage device, within the capacity firming specifications of the Fr…
Coordination of operational planning and real-time optimization in microgrids
Jonathan Dumas, Selmane Dakir, Clément Liu +1
Hierarchical microgrid control levels range from distributed device level controllers that run at a high frequency to centralized controllers optimizing market integration that run…
Probabilistic forecasting for sizing in the capacity firming framework
Jonathan Dumas, Bertrand Cornélusse, Xavier Fettweis +3
This paper proposes a strategy to size a grid-connected photovoltaic plant coupled with a battery energy storage device within the \textit{capacity firming} specifications of the F…
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Jonathan Dumas, Antoine Wehenkel Damien Lanaspeze, Bertrand Cornélusse +1
Greater direct electrification of end-use sectors with a higher share of renewables is one of the pillars to power a carbon-neutral society by 2050. However, in contrast to convent…
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market: extended version
Jonathan Dumas, Colin Cointe, Antoine Wehenkel +3
This paper addresses the energy management of a grid-connected renewable generation plant coupled with a battery energy storage device in the capacity firming market, designed to p…
Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies
Jonathan Dumas, Bertrand Cornélusse
The key contribution of this paper is to propose a classification into two dimensions of the load forecasting studies to decide which forecasting tools to use in which case. This c…