Prediction of Electricity Usage Using Convolutional Neural Networks

2017

Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Convolutional Neural Networks are overwhelmingly accurate when attempting to predict numbers using the famous MNIST-dataset. In this paper, we are attempting to transcend these results for time- series forecasting, and compare them with several regression mod- els. The Convolutional Neural Network model predicted the same value through the entire time lapse in contrast with the other models, while the Multi-Layer Perception through Machine Learning model performed overall best. Temperature variables are directly related to power consumption, but the weights from the power consumption values from 1, 2…