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