Improving some algorithms and calculations that predict future energy scenarios. The prediction engine is programmed in Ruby, so performance is low (we chose ruby because of inhouse knowledge and it makes it easy to discuss with domain experts). Now, fine-tuning/micro-optimising the computation to optimize speed, so that it's fast enough for a web-request (< 200ms).

http://www.energytransitionmodel.com