Venus Express is a mission of the European Space Agency with the goal of studying Venus atmosphere. The spacecraft has a thermal system that keeps certain instruments within an operational temperature range. This system consumes some of the electrical power available, but it's hard to estimate how much. We propose a Data Mining and Machine Learning model that significantly improves the accuracy of the current predictions in the Mission Planning System. This should allow a safer planning of resource allocation and eventually an increase in science return.