A two-layer implicit neural network with sinusoidal activations compresses and reconstructs real power-system waveforms with roughly 1-2% MSE, outperforming an equal-size single-layer Fourier-like network.
High-resolution time-sy nchronized grid monitoring devices,
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Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis
A two-layer implicit neural network with sinusoidal activations compresses and reconstructs real power-system waveforms with roughly 1-2% MSE, outperforming an equal-size single-layer Fourier-like network.