Feasibility Analysis of POD and Deep-autoencoder for Indoor Environment CFD Prediction

Compares proper orthogonal decomposition and deep autoencoders as reduced representations for indoor-environment CFD prediction.

Citation: Wang, S., Chen, X., & Geyer, P. (2023). Feasibility Analysis of POD and Deep-autoencoder for Indoor Environment CFD Prediction. In 18th International IBPSA conference and Exhibition, Building Simulation 2023, Shanghai, China.