222 citations · 222 across the 2 of their papers we have counts for
2 papers
cs.LG2019
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data
Lorenzo Gigoni, Alessandro Betti, Mauro Tucci +1
In this work, a novel predictive maintenance system is presented and applied to the main components of wind turbines. The proposed model is based on machine learning and statistica…
cs.LG2019★ 222 cited
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi +4
The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems. Despite the gene…