222 citations · 227 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
Decentralized Assignment of Electric Vehicles at Charging Stations Based on Personalized Cost Functions and Distributed Ledger Technologies
Michela Moschella, Pietro Ferraro, Emanuele Crisostomi +1
In this paper we propose a stochastic decentralized algorithm to recommend the most convenient Charging Station (CS) to Plug-in Electric Vehicles (PEVs) that need charging. In part…
Preference-based Energy Exchange in a Network of Microgrids
Li Bai, Dimitri Thomopulos, Emanuele Crisostomi
Peer-to-peer energy trading is emerging as a new paradigm that in the near future may disrupt conventional electricity markets and heavily affect energy exchanges in networks of mi…
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…