Thermal predictions - an environmental ML success story

Christian Sloper

Lightning talk - in English

Using deep learning and weather data we have succeeded in calculating the power need of the thermal power plant days ahead.  This has allowed calculating and optimizing the use of supplementary fuel leading to a reduction in overall use of expensive oil burners.

Explaining the core challenges in the project, a major pitfall in time series analysis and the positive results.