Heat Load Forecasting of District Heating System Based on Numerical Weather Prediction Model
Hongying Yang, Shuanglong Jin, Shuanglei Feng, Bo Wang, Fei Zhang, Jianfeng Che
Available Online January 2016.
- https://doi.org/10.2991/ifeea-15.2016.1How to use a DOI?
- Heating Load Forecast; Numerical Weather Prediction; Artificial Neural Network; Temperature; Weather Forecast
- This paper reports an application of Numerical Weather Prediction (NWP) in the heat load forecasting field. The NWP is applied to obtain the correlated weather parameters of the heat load, and then the properly structured Artificial Neural Network (ANN) model is designed to perform the prediction. Satisfactory experimental results are obtained by using actual heat load data in the north of China. The experimental result shows that the proposed NWP based method can predict the heat load precisely. Comparing with the traditional weather forecast based-method, the proposed method can effectively improve the forecasting accuracy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hongying Yang AU - Shuanglong Jin AU - Shuanglei Feng AU - Bo Wang AU - Fei Zhang AU - Jianfeng Che PY - 2016/01 DA - 2016/01 TI - Heat Load Forecasting of District Heating System Based on Numerical Weather Prediction Model BT - 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015) PB - Atlantis Press SP - 1 EP - 5 SN - 2352-5401 UR - https://doi.org/10.2991/ifeea-15.2016.1 DO - https://doi.org/10.2991/ifeea-15.2016.1 ID - Yang2016/01 ER -