Performance forecast of ground-source heat pump units in winter

Presents the practicability of applying artificial neural network to forecast performance of ground-source heat pump units. Establishes the forecasting model and simulates and forecasts the operating performance of a unit. The deviation coefficient between the simulating value and experimental value is less than 2.63%.