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Mendeley readers
Chapter title |
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models
|
---|---|
Chapter number | 29 |
Book title |
Intelligent Distributed Computing VIII
|
Published by |
Springer International Publishing, January 2015
|
DOI | 10.1007/978-3-319-10422-5_29 |
Book ISBNs |
978-3-31-910421-8, 978-3-31-910422-5
|
Authors |
Ricardo Aler, Ricardo Martín, José M. Valls, Inés M. Galván |
Editors |
David Camacho, Lars Braubach, Salvatore Venticinque, Costin Badica |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Unknown | 52 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 19% |
Student > Ph. D. Student | 7 | 13% |
Student > Bachelor | 6 | 11% |
Lecturer | 2 | 4% |
Student > Doctoral Student | 2 | 4% |
Other | 7 | 13% |
Unknown | 19 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 12 | 23% |
Energy | 5 | 9% |
Computer Science | 3 | 6% |
Earth and Planetary Sciences | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 6 | 11% |
Unknown | 24 | 45% |