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Mendeley readers
| Title |
Short-Term Wind Power Prediction Based on Extreme Learning Machine with Error Correction
|
|---|---|
| Published in |
Protection and Control of Modern Power Systems, June 2016
|
| DOI | 10.1186/s41601-016-0016-y |
| Authors |
Zhi Li, Lin Ye, Yongning Zhao, Xuri Song, Jingzhu Teng, Jingxin Jin |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Student > Doctoral Student | 6 | 12% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 33% |
| Computer Science | 5 | 10% |
| Energy | 4 | 8% |
| Environmental Science | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 19 | 39% |