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X Demographics
Mendeley readers
| Chapter title |
24-h Ahead Wind Speed Prediction for the Optimum Operation of Hybrid Power Stations with the Use of Artificial Neural Networks
|
|---|---|
| Chapter number | 58 |
| Book title |
Perspectives on Atmospheric Sciences
|
| Published by |
Springer International Publishing, January 2017
|
| DOI | 10.1007/978-3-319-35095-0_58 |
| Book ISBNs |
978-3-31-935094-3, 978-3-31-935095-0
|
| Authors |
K. P. Moustris, D. Zafirakis, D. H. Alamo, R. J. Nebot Medina, J. K. Kaldellis |
| Editors |
Theodore Karacostas, Alkiviadis Bais, Panagiotis T. Nastos |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 40% |
| United States | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Other | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 25% |
| Arts and Humanities | 1 | 13% |
| Economics, Econometrics and Finance | 1 | 13% |
| Computer Science | 1 | 13% |
| Energy | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |