Abstract
The prediction of city gas demand is analyzed and a new prediction method based on artificial neural network is discussed. With this method, a back propagation network was setup, and trained by monthly gas consumption in the past several years. Then this model is used to forecast the gas consumption in other months. Experimental results show that the value of gas demand predicted by the model is very close to the real consumption.
| Original language | English |
|---|---|
| Pages (from-to) | 140-142 |
| Number of pages | 3 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 29 |
| Issue number | SUPPL. 1 |
| Publication status | Published - Apr 2009 |
Keywords
- Artificial neural network
- City gas
- Demand prediction