/CNN-on-Wind-Power-Data

Feed 24 hour data through a Convolutional neural network to find average wind power and standard deviation.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

CNN-on-Wind-Power-Data

Feed 24 hour data through a Convolutional neural network and perform multi-class, multi-label classification. Uses Keras sequential model. Python generator is used to feed data during training. Demonstrates utilitiy of CNN as well as Python generator for dealing with large power data sets.