We evaluate statistical and machine learning methods for half-hourly 1-step-ahead electricity demand prediction using Australian electricity data. We show that the machine learning methods, that use autocorrelation feature selection and Backpropagation Neural Networks, Linear Regression and Support Vector Regression as prediction algorithms, outperform the statistical methods Exponential Smooth...