In this project the groundwater level of the reservoir Petrignano, Italy is predicted using different time-series models. It uses an dataset from the Acea Group, that was part of an Kaggle Competition. The aim was to identify import features and a reliable model to manage the reservoir sustainable.
Dataset: Acea Smart Water Analytics