This paper deals with a novel prediction method for wind turbine by using neural network and operating data. As transfer energy to electrical power energy, its structure has rotation part that capture mechanical part, convert from energy. Its working environmental situation is so bad like high mountain, sand desert, offshore good situation. Therefore, control monitoring should have reliability ...

Accurate radio frequency power prediction in a geographic region is computationally expensive part of finding the optimal transmitter location using ray tracing software. We empirically analyze viability deep learning models to speed up this process. Specifically, methods including CNNs and UNET are typically used for segmentation, can also be employed tasks. consider dataset that consists valu...