期刊论文详细信息
| International Journal of Physical Sciences | |
| Comparison of time series methods and neural network in energy cost forecasting | |
| Mehrdad Ahmadi Kamarposhti1  | |
| 关键词: Energy cost; cost forecasting; time series; neural network.; | |
| DOI : 10.5897/IJPS10.220 | |
| 学科分类:物理(综合) | |
| 来源: Academic Journals | |
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【 摘 要 】
Different method sets for energy cost, based on neural networks and composition networks, were used for several kinds of time series models and methods based on intelligence system. In this paper, performance and result of several kinds of time series models in energy in synchronic energy markets, were first studied; then in continuance, was used for forecasting and in Spain and California during one week.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902010936161ZK.pdf | 159KB |
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