地源热泵机组冬季运行性能预测
Performance forecast of ground-source heat pump units in winter
摘要：
探讨了人工神经网络应用于地源热泵机组性能预测的可行性，建立了地源热泵机组性能预测模型并对机组的冬季运行特性进行了模拟与预测，模拟值与实测值的偏差系数在2.63％以内。
关键词：地源热泵 BP算法 人工神经网络 性能预测
Abstract：
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%.
Keywords:ground-source heat pump, BP arithmetic, artificial neural network, performance forecast