Final Project CS 294 : Deep Time Series Learning
In this project we explored a deep neural network based approach in order to forecast day ahead prices. We used geospatial node pricing, oil/gas commodities prices, and weather data to come up with day ahead price predictions, which were ended up improving on the utility company’s accuracy. Using our best LSTM model, we managed to improve upon the industry standard by an average $0.80 in prediction error.