Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

Wind speed forecasting plays an important role in the stable operation of wind energy power
systems. However, accurate and reliable wind speed forecasting faces four challenges: how …

As grid-connected wind farms become more common in the modern power system, the
question of how to maximize wind power generation while limiting downtime has been a …

Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …

Recently, deep reinforcement learning has emerged as a popular approach for enhancing
thermal energy management in buildings due to its flexibility and model-free nature …

Wind speed forecasting plays a crucial role in reducing the risk of wind power uncertainty,
which is vital for power system planning, scheduling, control, and operation. However, it is …

Wind power is prone to dramatic fluctuations in the short term, posing a threat to the safety
and stability of the grid, so accurate forecasting of ultra-short-term wind power is important to …

Alzheimer's disease (AD) is a typical senile degenerative disease that has received
increasing attention worldwide. Many artificial intelligence methods have been used in the …

The penetration rates of renewable sources and energy storage systems in the energy
market have risen considerably due to environmental and economic concerns. In addition …

Accurate prediction of wind turbine power is important for the safe operation of wind farms.
However, most of the previous online transfer learning methods are partially updated and …