We outline Bayesian & Scientific ML methods for high-fidelity models in data-scarce scenarios
Highlight differences with traditional machine learning models and neural networks by effectively quantifying uncertainty and incorporating physics and engineering knowledge
Discuss Application of methods to use cases in energy
Challenges in implementation and scaling across diverse assets
Check out the incredible speaker line-up to see who will be joining Bala.
The browser you are using is not supported that will prevent you from accessing certain features of the website. We want you to have the best possible experience. For this you'll need to use a supported browser and upgrade to the latest version.