A year ago, the original blog post [1] (it was just recently updated, which is now the one linked here on HN) helped me on a semester thesis, where I quite succ

A year ago, the original blog post [1] (it was just recently updated, which is now the one linked here on HN) helped me on a semester thesis, where I quite successfully used LSTM for short-term electricity load forecasting, which also has very strong daily, weekly and seasonal patterns. I used multiple features/variables such as calendar and weather data and found the LSTM models to easily beat ARIMA/TBATS forecasts. You can find the code repo on my Github link [2], but please bear with the code quality. I only have an economics background, so my coding experience is fairly limited :) [1] http://www.jakob-aungiers.com/articles/a/LSTM-Neural-Network-for-Time-Series-Prediction http://www.jakob-aungiers.com/articles/a/LSTM-Neural-Network... [2] https://github.com/dafrie/lstm-load-forecasting https://github.com/dafrie/lstm-load-forecasting