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Found 3 papers, 1 papers with code
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.
Learning short-term past as predictor of human behavior in commercial buildings
Eventually, the relationship between the prediction accuracy and the time-lag of the predicted window state in future is analyzed.
Window Opening Model using Deep Learning Methods
data points from 3 independent buildings, located in Aachen, Frankfurt and Philadelphia.
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