Heat Load Forecasting of District Heating System Based on Numerical Weather Prediction Model

DOI

10.2991/ifeea-15.2016.1How to use a DOI?

Keywords

Heating Load Forecast; Numerical Weather Prediction; Artificial Neural Network; Temperature; Weather Forecast

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the 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  - 10.2991/ifeea-15.2016.1
ID  - Yang2016/01
ER  -