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Mendeley readers
| Chapter title |
Energy Demand Forecasting Using Deep Learning
|
|---|---|
| Chapter number | 4 |
| Book title |
Smart Cities Performability, Cognition, & Security
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-14718-1_4 |
| Book ISBNs |
978-3-03-014717-4, 978-3-03-014718-1
|
| Authors |
Bahrudin Hrnjica, Ali Danandeh Mehr |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Student > Master | 5 | 14% |
| Researcher | 3 | 8% |
| Lecturer | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 36% |
| Computer Science | 4 | 11% |
| Social Sciences | 4 | 11% |
| Energy | 2 | 6% |
| Linguistics | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |