We introduce a semi-supervised feedback labeling mechanism to improve the performance of deep learning based energy prediction models, where we used a GAN-based framework to help us automatically generate the labels of the feedback from our customers. Based on the GAN labeled feedback we either use them as a new dataset to create new energy prediction models or improve our existing models.