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Mendeley readers
Chapter title |
Building Energy Information: Demand and Consumption Prediction with Machine Learning Models for Sustainable and Smart Cities
|
---|---|
Chapter number | 19 |
Book title |
Engineering for Sustainable Future
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-36841-8_19 |
Book ISBNs |
978-3-03-036840-1, 978-3-03-036841-8
|
Authors |
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy, Ardabili, Sina, Mosavi, Amir, Várkonyi-Kóczy, Annamária R. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 20% |
Researcher | 6 | 13% |
Student > Doctoral Student | 4 | 9% |
Student > Master | 3 | 7% |
Lecturer | 1 | 2% |
Other | 5 | 11% |
Unknown | 17 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 16% |
Computer Science | 5 | 11% |
Environmental Science | 3 | 7% |
Social Sciences | 3 | 7% |
Business, Management and Accounting | 2 | 4% |
Other | 6 | 13% |
Unknown | 19 | 42% |