Tensorflow Lite, Edge Computing, Model Quantization, Energy Disaggregation.
ensuring that the range of floating-point arrays is accurately estimated. It uses a balanced approach to sample enough data points from periods of active and inactive appliance use, crucial for energy disaggregation datasets that are typically imbalanced. Debugging: Ensuring Quantization Quality