M

micro-energy

PredictaFlux is a modular, AGPL 3.0+ energy intelligence platform designed to transform triboelectric and micro-energy signals into structured, predictive, and optimizable data. It combines digital twin modeling, material physics simulation, and distributed mesh coordination to forecast energy generation, manage storage behavior, and optimize energy flow across connected devices. Built as an extensible system, PredictaFlux enables researchers and developers to model, simulate, and coordinate ambient energy systems through a unified, event-driven architecture. https://roxanneardary.com/predictaflux/