Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

Wind power curves play important roles in wind power forecasting, wind turbine condition
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …

The ever increasing size of wind turbines and the move to build them offshore have
accelerated the need for optimised maintenance strategies in order to reduce operating …

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve
smart grids by integrating several energy forms into an extremely flexible and effective grid …

This paper proposes an artificial neural network (ANN)-based reinforcement learning (RL)
maximum power point tracking (MPPT) algorithm for permanent-magnet synchronous …

Cooperative wind farm control is a complex problem due to wake effect, and it is hard to find
the proper model. Reinforcement learning can find the optimal policy in a dynamic …

In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …

Electric power systems are taking drastic advances in deployment of information and
communication technologies; numerous new measurement devices are installed in forms of …

Condition monitoring of the wind turbine based on supervisory control and data acquisition
(SCADA) data has attracted much attention in recent years. Nevertheless, there are some …

Monitoring wind turbine blade breakages based on supervisory control and data acquisition
(SCADA) data is investigated in this research. A preliminary data analysis is performed to …