Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
A three-branch heterogeneous spatial-temporal graph neural network (HSTGNN) was developed to create virtual smart heat meters in district heating networks. The model jointly models cross-variable and spatial correlations by using separate branches for flow, temperature, and pressure measurements, leading to superior performance over existing methods.