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Condition monitoring and early diagnostics methodologies for hydropower plants
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 maintenance costs, and they may be used to provide ancillary services, exploiting the large reservoirs of available water.
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data
In this work, a novel predictive maintenance system is presented and applied to the main components of wind turbines.
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
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 (e. g., unit commitment, electricity market clearing or maintenance planning).
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems.
