| Title |
Electricity load forecasting: a systematic review
|
|---|---|
| Published in |
Journal of Electrical Systems and Information Technology, September 2020
|
| DOI | 10.1186/s43067-020-00021-8 |
| Authors |
Isaac Kofi Nti, Moses Teimeh, Owusu Nyarko-Boateng, Adebayo Felix Adekoya |
Mendeley readers
The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 322 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 10% |
| Student > Ph. D. Student | 28 | 9% |
| Unspecified | 18 | 6% |
| Researcher | 17 | 5% |
| Student > Bachelor | 16 | 5% |
| Other | 49 | 15% |
| Unknown | 162 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 67 | 21% |
| Computer Science | 29 | 9% |
| Energy | 20 | 6% |
| Unspecified | 18 | 6% |
| Social Sciences | 5 | 2% |
| Other | 17 | 5% |
| Unknown | 166 | 52% |