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Mendeley readers
| Chapter title |
Introduction
|
|---|---|
| Chapter number | 1 |
| Book title |
Recurrent Neural Networks for Short-Term Load Forecasting
|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-70338-1_1 |
| Book ISBNs |
978-3-31-970337-4, 978-3-31-970338-1
|
| Authors |
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 33% |
| Professor | 1 | 17% |
| Lecturer | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 50% |
| Physics and Astronomy | 1 | 17% |
| Unknown | 2 | 33% |