output
20132026
most citedTabular Machine Learning Methods for Predicting Gas Turbine Emissions

20 citations

35 papers

cs.LG2026

GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude +1

Electricity forecasting often involves spatially related signals observed over regions, substations, and feeders, and Graph Neural Networks (GNNs) provide a natural way to represen…

stat.CO2026

Digital twin-based hybrid framework for steam generator clogging prognostics

Edgar Jaber, Emmanuel Remy, Vincent Chabridon +5

We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reacto…

math.OC2026

Online Markov Decision Processes with Terminal Law Constraints

Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard +1

Traditional reinforcement learning usually assumes either episodic interactions with resets or continuous operation to minimize average or cumulative loss. While episodic settings…

physics.class-ph2026

CFD modeling of hydrogen release and dispersion in a congested container

Hector Amino, Lynda Porcheron, Jérôme Daubech +4

Hydrogen plays an important role in driving decarbonization within the current global energy landscape. As hydrogen infrastructures rapidly expand beyond their traditional applicat…

cond-mat.mtrl-sci2025

On the relation between microstructure and impact toughness of 17-4__PH stainless steel produced by powder bed fusion laser beam (PBF-LB)

Renata de Oliveira Melo, Jean-Bernard Vogt, Eric Nivet +6

This work investigated the effects of aging heat treatments on the microstructure and, consequently, the quasi-static (tensile properties) and dynamic (impact toughness) mechanical…

cs.LG2025★ 2 cited

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series

Adrien Petralia, Paul Boniol, Philippe Charpentier +1

In recent years, electricity suppliers have installed millions of smart meters worldwide to improve the management of the smart grid system. These meters collect a large amount of…