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As part of this service, probabilistic forecasts by quantile regression of mean forecast errors have been implemented to complement the mean estimate and provide additional risk management tools.Īs part of a dynamic, high-level team, you will work jointly on R&D and customer projects, focusing on the analysis and consolidation of data (large and small), the design and implementation of high-performance modelling methods, as well as the visual restitution of these processes. These models are used in an operational framework with 10-minute granularity forecasts and the integration of “real” measurements taken every hour to adjust the forecasts. To do so, Artelys has implemented new “machine learning” models (GAM, XGboost) and exploited new data sources (ECMWF). This tool must be able to challenge the current models used by RTE, which are models at the scale of a power plant whose forecasts are then aggregated.
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Some examples of client projects in which a Senior Data Scientist profile may be involved include:įor RTE R&D: Development of a tool (package R) for the study of short-term (D+15) forecasting models for national photovoltaic and wind energy production. Partners: Gaz Electricité Grenoble, INRIA, L2EPĪrtelys’ Data Science activity is growing rapidly, with numerous client projects, particularly in the Energy, Transport/Mobility, Health and Public Sector (Ministries, Local Authorities, National Agencies) sectors On the other hand, this project is an opportunity to implement and test numerous predictive modelling techniques, from classic GAM models to modern machine learning techniques and in particular Generative Adversial Networks and Variational AutoEncoders. In particular, modern clustering techniques make it possible to highlight common consumption characteristics. The core of the NEXT project is the understanding and modelling of the electricity consumption process on a very fine temporal and spatial scale.
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More than 30% of Artelys’ activity is devoted to R&D projects, which allows its engineers to explore state-of-the-art applied mathematical methods in Operational Research, Machine Learning and Deep Learning.Īmong the R&D projects that are currently being developed involving the study of advanced Data Science models, we can cite the NEXT project in particular.Īs a large-scale R&D project of the French Environment and Energy Management Agency (ADEME), NEXT aims to develop an innovative reference software for the dimensioning of flexible electrical grids (smart-grid), thus providing an essential building block for the energy transition. Joining Artelys means above all joining a dynamic and motivated team, a stimulating work environment and participating in varied and exciting projects.
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