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Mendeley readers
Chapter title |
Wind Energy Forecasting at Different Time Horizons with Individual and Global Models
|
---|---|
Chapter number | 21 |
Book title |
Artificial Intelligence Applications and Innovations
|
Published by |
Springer, Cham, May 2018
|
DOI | 10.1007/978-3-319-92007-8_21 |
Book ISBNs |
978-3-31-992006-1, 978-3-31-992007-8
|
Authors |
R. Martín-Vázquez, R. Aler, I. M. Galván |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 1 | 9% |
Lecturer | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Student > Bachelor | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Other | 2 | 18% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Energy | 2 | 18% |
Computer Science | 2 | 18% |
Arts and Humanities | 1 | 9% |
Mathematics | 1 | 9% |
Unknown | 5 | 45% |