The objective of the internship is to study the properties of temporal aggregation methods (time series clustering) in the context of optimizing the sizing and control of multi-vector energy systems. In particular, we will endeavor to compare the impact of different methods on the optimization results, with indicators of conservation of the technical-economic and environmental properties of the energy systems considered. The missions are as follows: Bibliographic study on temporal aggregation methods. Getting started or developing one or more of these methods. Comparative study of these methods on one or more real case studies, on real data from history or on predicted data. Analysis of the impact of time series quality on optimization results.