This paper presents a novel approach to developing accurate models for the Arm Cortex-M0 CPU. The methodology uses a custom energy measurement harness on a commercially available platform and an Instruction Set Simulator to obtain statically predictable PMC events. The models are trained and validated on a much larger set of workloads compared to relevant work and achieve an average error of 5%.