Survey on Natural Gas Load Forecasting Technology
| Autor: | Wei Ya Shi |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Engineering
Artificial neural network business.industry Load forecasting General Engineering Neural network nn Variation (game tree) computer.software_genre Machine learning Natural gas Statistical learning theory Artificial intelligence Probabilistic forecasting Data mining business computer Technology forecasting |
| Zdroj: | Advanced Materials Research. 485:249-252 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.485.249 |
| Popis: | In this paper, we give a short survey on natural gas load forecasting technology. Because the variation of gas load is influenced by weather and people activity, the traditional forecasting results and the precision is low. The forecasting methods based on statistical learning theory and artificial neural network are discussed in detail. We also give some future research on the forecasting method of gas load. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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