Talks and presentations

Implementation of Machine Learning Techniques to Predict the Prominent Factors Effecting the Life Cycle of a Flow Battery

December 10, 2016

Talk, Universidad Autonoma de Ciudad Juarez, Department of Engineering, Ciudad Juarez, MX

This presentation was performed for the 1st Colloquium of Engineering and Technology, located at the Universidad Autonoma de Ciudad Juarez, Ciudad Juarez, MX. Here I presented Machine Learning techniques for identifying and quantifying parameter importance for batteries.

An Intelligent Predictive Algorithm Utilized to Assess Influential Factors Effecting the Recharge Process of a Zinc Polyiodide Flow Battery

October 20, 2016

Talk, Universidad Autonoma de Baja California Department of Engineering, Ensendada, Baja California, MX

I presented at the 1st International Workshop on Quality and Productivity, located at the Universidad Autonoma de BajaCalifornia, in Ensendada, Baja California, MX. This presentation was focused on presenting Random Forest techniques for identifying the most influential physical battery parameters in a predictive battery model.

Steven C. Hespeler

Talks and presentations

Implementation of Machine Learning Techniques to Predict the Prominent Factors Effecting the Life Cycle of a Flow Battery

An Intelligent Predictive Algorithm Utilized to Assess Influential Factors Effecting the Recharge Process of a Zinc Polyiodide Flow Battery