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Timeline
Mendeley readers
Chapter title |
PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network
|
---|---|
Chapter number | 51 |
Book title |
Advanced Data Mining and Applications
|
Published by |
Springer, Cham, November 2017
|
DOI | 10.1007/978-3-319-69179-4_51 |
Book ISBNs |
978-3-31-969178-7, 978-3-31-969179-4
|
Authors |
Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu, Cheng, Yao, Xu, Chang, Mashima, Daisuke, Thing, Vrizlynn L. L., Wu, Yongdong |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 16% |
Researcher | 7 | 10% |
Student > Ph. D. Student | 7 | 10% |
Student > Master | 6 | 9% |
Student > Doctoral Student | 4 | 6% |
Other | 9 | 13% |
Unknown | 23 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 14 | 21% |
Computer Science | 11 | 16% |
Business, Management and Accounting | 3 | 4% |
Mathematics | 2 | 3% |
Energy | 2 | 3% |
Other | 8 | 12% |
Unknown | 27 | 40% |