
When Accuracy Costs More Energy
This research identifies an Accuracy-Efficiency Paradox in on-device energy forecasting: highly accurate models can consume more energy than they save. It proposes a Total Cost of Ownership framework that combines inference energy use with battery aging to measure net energy loss.
ArXiv AI · 22d ago

























