Increasing Accuracy of O&M Cost Projections: Stem’s Data-Driven Battery Degradation Analysis

“In the dynamic world of energy storage, realistic projections and O&M assumptions lay the foundation for success. By embracing advanced analytics and machine-learning methods, we unlock the power of planning, optimize returns, and light the path towards a sustainable future.” -Erik Egan, Vice President, Stem Consulting Services   Energy storage battery degradation and its impact […]