Predictive maintenance of renewable energy assets: what can data science really do?
29/11/21, 11:00, K71
We first give some background on renewable energy assets and the data we collect from sensors that measure mechanical, electrical, and meteorological information there. Then, going through a variety of concrete renewable energy cases around predictive maintenance and anomaly detection in time series, we reflect on both the kind of machine learning we need and the technical role a data scientist plays in this context, from the creation of an algorithm up to its industrialization.
Français 
English (UK)