持有资料: Short term power load forecasting using a modified generalized regression neural network

Short term power load forecasting using a modified generalized regression neural network

Short Term Load Forecasting is very important from the power systems grid operation point of view. The short term time frame may consist of half hourly prediction up to monthly prediction. Accurate forecasting would benefit the utility in terms of reliability and stability of the grid ensuring adequ...

全面介绍

Saved in:

书目详细资料
Main Authors:	Yap K.S., Lim C.P.
其他作者:	24448864400
格式:	Conference paper
出版:	2023
主题:	?-Insensitive loss function Generalized regression neural network Load forecasting Time series prediction Competition Neural networks Regression analysis Time series Financial performance Grid operations Load demands Power load forecasting Power loads Power systems Prediction accuracies Reliability and stabilities Short term load forecasting Short terms Simulation results Support vector regressions Time frames Utility companies Electric load forecasting
标签:	添加标签没有标签, 成为第一个标记此记录!

Short term power load forecasting using a modified generalized regression neural network

相似书籍