Investigating the impact of missing data imputation techniques on battery energy management system

Effective control of energy storage system (ESS), supplying an ancillary service to a grid, requires effective and critical calculation state-of-charge (SoC). Charging discharging values from battery operations are essential in calculating the efficiency performance system. This information can also be key understand forecast peak demand performance. Missing data is real problem any system, it appears more common within powers systems due sensor and/or network malfunctioning problems. imputation techniques have evolved power research using smart meter data, but little has gone into understanding how missing best handled management systems. paper builds on year's worth charging collected 6MW/10MWh lithium-ion deployed distribution at Leighton Buzzard, UK. Using R Studio version (1.3.959-1) open-source software, eight selected were applied identifying suited technique replacing various amounts patterns. Findings study open up avenues for discussion debate appropriate context. The provides pioneering lead importance decomposition evaluating right technique.