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20192023
most citedDenoising diffusion probabilistic models for probabilistic energy forecasting

30 citations · 111 across the 13 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

eess.SY2021★ 1 cited

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…

q-fin.ST2021★ 25 cited

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…

cs.LG2021★ 13 cited

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…

math.OC2021★ 1 cited

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…

eess.SY2021★ 19 cited

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…

math.OC2021

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…

cs.LG2021

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…

stat.AP2021★ 1 cited

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…