Electricity load forecast is a major challenge for all parts in the electricity market, as well as for their tasks concerning production management, planification, network routing or marketing and offerts design.
Recently, the development of smart grids and new measurement infrastructures like smart meters flow the sector with new massive data. New prediction methods able to adapt to these data are necessary.
In this context, Université Paris-Sud, Université Lyon 2 and EDF propose this two day event addressed to data scientists (academic and industrial researchers) as well as for all the engineers working on electricity markets.
The 1-day workshop focused on Individual Electricity Consumers will provide an overview of Data, Packages and Methods available to tackle such problems. Organized around five talks, discussions will take place about questions related to modeling Electricity Demand in Smart Grids, including available open datasets, disaggregation of usages or multiscale aggregation of consumers, load profile clustering. In addition, the day before a 1-day IRSDI-ECAS Course is dedicated to Generalized Additive Modeling in such contexts.
Registration is free but mandatory.
This course and this workshop, benefited from the support of the ''FMJH Research Initiative Data Science for Industry'', and from the support to this program from EDF and from Thalès Optronique. It takes place in the IRSDI project entitled ''Disaggregated Electricity Forecasting using Clustering of Individual Consumers''.
The course is part of the ECAS program opening a new cycle of industrial courses.
This event is sponsored by French Society of Statistics (SFdS).
Organization: EDF Labs, Paris-Saclay, France
Coordination: Benjamin Auder (LMO, U. Paris Saclay), Jairo Cugliari (ERIC, U. Lyon), Yannig Goude (EDF R&D and U. Paris-Sud), Jean-Michel Poggi (LMO, U. Paris-Sud Orsay and U. Paris Descartes)
Contacts: Jean-Michel.Poggi@math.u-psud.fr or email@example.com