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Mendeley readers
| Chapter title |
Predicting Spatiotemporal Impacts of Weather on Power Systems Using Big Data Science
|
|---|---|
| Chapter number | 12 |
| Book title |
Data Science and Big Data: An Environment of Computational Intelligence
|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-53474-9_12 |
| Book ISBNs |
978-3-31-953473-2, 978-3-31-953474-9
|
| Authors |
Mladen Kezunovic, Zoran Obradovic, Tatjana Dokic, Bei Zhang, Jelena Stojanovic, Payman Dehghanian, Po-Chen Chen, Kezunovic, Mladen, Obradovic, Zoran, Dokic, Tatjana, Zhang, Bei, Stojanovic, Jelena, Dehghanian, Payman, Chen, Po-Chen |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 30% |
| Student > Master | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 43% |
| Computer Science | 4 | 17% |
| Energy | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Philosophy | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 22% |