DTDSS reconstructs global horizontal irradiance and convective heat flux from standard sensors via temporal derivatives and noise reduction, achieving R² ≈ 0.9 and RMSE ≈ 45 W/m² on embedded hardware.
A Review on TinyML: State-of-the-Art, Challenges, and Future Directions
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Temporal Derivative Soft-Sensing and Reconstructing Solar Radiation and Heat Flux from Common Environmental Sensors
DTDSS reconstructs global horizontal irradiance and convective heat flux from standard sensors via temporal derivatives and noise reduction, achieving R² ≈ 0.9 and RMSE ≈ 45 W/m² on embedded hardware.