Fig. 1From: Enhancing neural non-intrusive load monitoring with generative adversarial networksInformation Flow in Neural NILM: The load profile of mains is split into sequences and fed to appliance-specific disaggregators. Later, the partial results have to be merged to form the final result. The gray area highlights the additional generator Ga of the Generative Adversarial Network that we use as appliance load sequence generator in our Neural NILM approachBack to article page