| Qin, Y and Li, K and Liang, Z and Lee, B and Zhang, F and Gu, Y and Zhang, L and Wu, F and Rodriguez, D, “Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal”, Applied Energy, 236 pp. 262-272. ISSN 0306-2619 (2019) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Engineering |
| Research Group | Electrical engineering |
| Research Field | Electrical energy generation (incl. renewables, excl. photovoltaics) |
| Research Objective Division | Energy |
| Research Objective Group | Renewable energy |
| Research Objective Field | Wind energy |
| Visit Item on eCite | http://ecite.utas.edu.au/135048 |
| Digital Object Identifier | doi:10.1016/j.apenergy.2018.11.063 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 78 |
