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 …

In order to solve the security threat brought by the volatility and randomness of large-scale
distributed wind power, this paper proposed a wind power prediction model which integrates …

Current electricity price forecasting models rely on only simple hybridizations of data
preprocessing and optimization methods while ignoring the significance of adaptive data …

As concerns about the greenhouse effect and the resulting increase in carbon dioxide levels
in the atmosphere continue to mount, there is an increasing need to curtail the use of fossil …

Large-scale wind power grid integration is challenging, requiring accurate and stable wind
power forecasting to reduce operational risk and improve the scheduling efficiency of the …

The cooperation of renewable energy and electrical energy storage can effectively achieve
zero-carbon electricity consumption in buildings. This paper proposes a method to evaluate …

Effective wind speed forecasting has great significance for urban energy system operations
and the construction of low-carbon cities. However, most previous research has focused …

Accurate forecasting of wind power faces two challenges: 1) extracting more effective
information on power fluctuations from limited input features, and 2) constructing a suitable …

The EU must incorporate as many renewable sources as possible (such as hydropower,
wind power, solar power and biomass) into a complex energy mix in order to meet its 2030 …

Wind energy is taken as one of the most potential green energy sources, whose accurate
and stable prediction is important to improve the efficiency of wind turbines as well as to …