222 citations · 228 across the 4 of their papers we have counts for
5 papers
A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery
Alessandro Betti
Despite the breakthrough deep learning performances achieved for automatic object detection, small target detection is still a challenging problem, especially when looking at fast…
Condition monitoring and early diagnostics methodologies for hydropower plants
Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli +3
Hydropower plants are one of the most convenient option for power generation, as they generate energy exploiting a renewable source, they have relatively low operating and maintena…
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…
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
Michela Moschella, Mauro Tucci, Emanuele Crisostomi +1
The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations…
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…