Predictive and adaptive load management for energy storage systems at Cloud-Edge

Principal investigator: Liang Du

University: Temple University

Industry partner: EnerSys

Temple University, in collaboration with EnerSys, the global leader in stored energy solutions and industrial battery manufacturing (with its global headquarters and R&D centers in Reading, PA), proposes to develop predictive and adaptive load management (PALM) techniques for next-generation energy storage technologies in PA that enable collective integration of networked energy storage systems via the readily available Cloud platform. This project will support innovations in a major manufacturer in PA by promoting ongoing collaboration between Temple and EnerSys R&D at Reading, to support the integration of high penetration of renewables and electrified transportation into regional power grids, and enhance EnerSys’ technology competition with other manufacturers outside PA. Furthermore, this project will potentially create more manufacturing jobs in PA and move more manufacturing jobs from outside the state to PA if EnerSys has strong technology support locally in PA such as an institutional research and education collaboration between Temple and EnerSys.