A three-layer leaky integrate-and-fire spiking neural network estimates passive component parameters in power converters, cutting resistance error from 25.8% to 10.2% versus feedforward baselines at projected 270x lower energy on neuromorphic chips.
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SolarChain integrates first-principles solar yield calculations with blockchain verification to enforce physical output limits, enable sustainable P2P energy trading, and retire credits proportional to actual consumption.
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Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
A three-layer leaky integrate-and-fire spiking neural network estimates passive component parameters in power converters, cutting resistance error from 25.8% to 10.2% versus feedforward baselines at projected 270x lower energy on neuromorphic chips.
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SolarChain: Bridging Physical Law, Verifiable Trust, and Sustainable Markets for Urban Energy Resilience
SolarChain integrates first-principles solar yield calculations with blockchain verification to enforce physical output limits, enable sustainable P2P energy trading, and retire credits proportional to actual consumption.