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Found 2 papers, 1 papers with code
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
While no significant improvement is observed in terms of reconstruction error with the proposed PI-DAE, its enhanced robustness to varying rates of missing data and the valuable insights derived from the physics-based coefficients create opportunities for wider applications within building systems and the built environment.
Indoor environment data time-series reconstruction using autoencoder neural networks
As the number of installed meters in buildings increases, there is a growing number of data time-series that could be used to develop data-driven models to support and optimize building operation.
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