Based on Heating Network Load Forecasting of Steam Measurement Monitoring System
With the development of urban central heating, remote monitoring technology plays an important role in the heating network monitoring, control and management. The system, which uses the remote transmission manner of data radio, collects steam parameters from every steam-using corporation and sends them to the monitoring center of thermoelectricity plant, then analyses and disposes the data through the monitoring software of LabVIEW, brings forward a heating network load forecasting method based on wavelet and Neural network, decomposes load sequence to use wavelet packet, processes Elman network model training for subsequence, and recomposes the load forecasting results.
Weiguo Pan, Jianxing Ren and Yongguang Li
Z. L. Xu et al., "Based on Heating Network Load Forecasting of Steam Measurement Monitoring System", Advanced Materials Research, Vols. 347-353, pp. 103-106, 2012