You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Short Term Load Forecasting Using XGBoost
|
---|---|
Chapter number | 108 |
Book title |
Web, Artificial Intelligence and Network Applications
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-15035-8_108 |
Book ISBNs |
978-3-03-015034-1, 978-3-03-015035-8
|
Authors |
Raza Abid Abbasi, Nadeem Javaid, Muhammad Nauman Javid Ghuman, Zahoor Ali Khan, Shujat Ur Rehman, Amanullah, Abbasi, Raza Abid, Javaid, Nadeem, Ghuman, Muhammad Nauman Javid, Khan, Zahoor Ali, Ur Rehman, Shujat |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 10% |
Student > Ph. D. Student | 5 | 9% |
Student > Master | 5 | 9% |
Student > Doctoral Student | 3 | 5% |
Professor | 2 | 3% |
Other | 12 | 21% |
Unknown | 25 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 13 | 22% |
Computer Science | 6 | 10% |
Unspecified | 2 | 3% |
Psychology | 2 | 3% |
Energy | 2 | 3% |
Other | 6 | 10% |
Unknown | 27 | 47% |