Stacking

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

The use of wind energy plays a vital role in society owing to its economic and environmental importance. Knowing the wind power generation within a specific time window is useful for facilitating decision making in terms of maintenance, electricity …

An improved ensemble learning model for multi-step ahead wind power generation forecasting

The development and expansion of clean energy, such as wind energy, are important in the preservation of the environment and development of local economies and an alternative to hydroelectric and thermal energies. In this respect, the development of …