With the increasing penetration of renewable energy in smart grids and the increasing
building electrical load, their accurate forecasting is essential for system design, control and …

Accurate typhoon wind speed prediction is significant because it enables wind farms to take
advantage of high wind speeds and to simultaneously protect wind turbines from damage …

Accurate prediction of wind speed is of great significance to the stable operation of wind
power equipment. In this study, a hybrid deep learning model based on convolutional neural …

Accurate load forecasting can efficiently reduce the day-ahead dispatch stress of power
system or microgrid. The overview of load forecasting based on artificial intelligence models …

With the increasing penetration of wind energy, accurate wind power prediction is essential
for efficient utilization, equipment protection, and stable grid-connection of wind energy …

摘要为提高短期风电功率预测精度, 首先在卷积神经网络(CNN)-长短期记忆(LSTM)
网络模型的基础上, 引入特征交叉(FC) 机制, 对风电场数据集进行相关性分析并交叉组合 …

The accurate wind speed prediction is of significant importance to decrease the adverse
impact of wind randomness on the power systems and help wind power grid-tied. However …

In recent years, global warming mitigation has received increasing attention. Reasonable
carbon prices in stable carbon markets can reduce greenhouse gas emissions. Therefore, to …

With the rapid increase in the installed capacity of wind power, day-ahead wind power
interval prediction is becoming more and more important. To solve such a challenging …

Due to the nonlinearity, fluctuation, and intermittency of wind speed, its accurate prediction is
essential for improving efficiency in wind power operation systems. In this regard, a hybrid …