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Mendeley readers
| Chapter title |
Wind Power Prediction with Machine Learning
|
|---|---|
| Chapter number | 2 |
| Book title |
Computational Sustainability
|
| Published by |
Springer, Cham, January 2016
|
| DOI | 10.1007/978-3-319-31858-5_2 |
| Book ISBNs |
978-3-31-931856-1, 978-3-31-931858-5
|
| Authors |
Nils André Treiber, Justin Heinermann, Oliver Kramer |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 1% |
| Unknown | 86 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 15 | 17% |
| Researcher | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Other | 13 | 15% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 31% |
| Computer Science | 16 | 18% |
| Energy | 11 | 13% |
| Business, Management and Accounting | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 24 | 28% |