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Research on Dynamic Relationship between Urban Rail Transit and Power Consumption
| Content Provider | Scilit |
|---|---|
| Author | Zhe, Liu Fengqing, Du Xu, Liu |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering Aiming at the problem of insufficient feature quantity and lack of correlation between feature quantity and load, based on time series analysis method, ARIMNA model is used to fit the load forecasting problem. The study found that the urban orbit data has a good autocorrelation. Compared to the Linear Regression method, when the ARIMA model is used, the algorithm can predict the trend of urban rail transit load data better. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/853/1/012029/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/853/1/012029 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 853 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-05-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Transportation Science and Technology Urban Rail Transit |
| Content Type | Text |
| Resource Type | Article |
