The strengthening of electric energy security and the reduction of greenhouse gas
emissions have gained enormous momentum in previous decades. The integration of large …

The effective use of wind energy is an essential part of the sustainable development of
human society, in particular, at the recent unprecedented pressure in sha** a low carbon …

The volatility and uncertainty of wind power often affect the quality of electric energy, the
security of the power grid, the stability of the power system, and the fluctuation of the power …

Concept drift primarily refers to an online supervised learning scenario when the relation
between the input data and the target variable changes over time. Assuming a general …

As an emerging research topic, online class imbalance learning often combines the
challenges of both class imbalance and concept drift. It deals with data streams having very …

In the last two decades, renewable energy forecasting progressed toward the development
of advanced physical and statistical algorithms aiming at improving point and probabilistic …

The wind turbine power curve shows the relationship between the wind turbine power and
hub height wind speed. It essentially captures the wind turbine performance. Hence it plays …

Abstract The Global Energy Forecasting Competition (GEFCom2012) attracted hundreds of
participants worldwide, who contributed many novel ideas to the energy forecasting field …

Wind speed is the dominant meteorological factor affecting wind turbine power generation.
Existing wind speed fluctuation division algorithms only focus on the wind speed changing …

Wind power is playing a pivotal part in global energy growth as it is clean and pollution‐free.
To maximize profits, economic scheduling, dispatching, and planning the unit commitment …