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Mendeley readers
| Title |
Short-term photovoltaic power production forecasting based on novel hybrid data-driven models
|
|---|---|
| Published in |
Journal of Big Data, March 2023
|
| DOI | 10.1186/s40537-023-00706-7 |
| Authors |
Musaed Alrashidi, Saifur Rahman |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 8% |
| Lecturer | 3 | 6% |
| Unspecified | 3 | 6% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 31 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 20% |
| Unspecified | 3 | 6% |
| Energy | 3 | 6% |
| Computer Science | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 30 | 61% |