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 and the positive results.