You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Prediction of the Energy Demand of a Hotel Using an Artificial Intelligence-Based Model
|
---|---|
Chapter number | 49 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-92639-1_49 |
Book ISBNs |
978-3-31-992638-4, 978-3-31-992639-1
|
Authors |
José-Luis Casteleiro-Roca, José Francisco Gómez-González, José Luis Calvo-Rolle, Esteban Jove, Héctor Quintián, Juan Francisco Acosta Martín, Sara Gonzalez Perez, Benjamin Gonzalez Diaz, Francisco Calero-Garcia, Juan Albino Méndez-Perez |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 16% |
Student > Master | 6 | 13% |
Student > Bachelor | 5 | 11% |
Student > Doctoral Student | 4 | 9% |
Researcher | 3 | 7% |
Other | 8 | 18% |
Unknown | 12 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 9 | 20% |
Engineering | 8 | 18% |
Social Sciences | 5 | 11% |
Computer Science | 4 | 9% |
Arts and Humanities | 1 | 2% |
Other | 2 | 4% |
Unknown | 16 | 36% |