A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
As a result of the widespread use of power electronic equipment and the increase in
consumption, the importance of effective energy policies and the smart grid begins to …
consumption, the importance of effective energy policies and the smart grid begins to …
[HTML][HTML] 一种新型用于电能质量扰动信号分类的混合深度学习方法
王怡沁 - Software Engineering and Applications, 2022 - hanspub.org
由于电力电子设备的广泛使用和电力资源的过度消耗, 节约能源迫在眉睫. 电力系统中的非线性
负载和其他负载被认为是电能质量扰动的主要原因, 电能质量扰动的产生会导致的信号质量和 …
负载和其他负载被认为是电能质量扰动的主要原因, 电能质量扰动的产生会导致的信号质量和 …