1 Introduction

The evolution of modern electrical infrastructure, including smart grids, renewable energy integration, and sophisticated industrial automation, places increasingly stringent demands on the accuracy and comprehensiveness of electrical parameter measurement. Precise metrology—the science of measurement—is no longer just about basic energy consumption; metrology now encompasses detailed power quality (PQ) analysis, crucial for maintaining grid stability, equipment longevity, and operational efficiency. Parameters such as RMS voltage and current, active and reactive power, power factor, frequency, and harmonic distortion provide vital insights into the health and performance of electrical systems. However, implementing robust metrology and PQ analysis designs presents significant technical hurdles. Modern electrical loads are often non-linear, leading to distorted current and voltage waveforms rich in harmonics. Accurately processing these complex signals in real-time, while performing computationally intensive algorithms like fast Fourier transforms (FFTs) for harmonic analysis or precise dot-product accumulations for true RMS and power calculations, strains the capabilities of traditional microcontrollers. Furthermore, achieving the high-precision required by metrology standards, often necessitating floating-point arithmetic, adds another layer of complexity, particularly on resource-constrained embedded platforms.