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 |
Predicting Energy Consumption of Office Buildings: A Hybrid Machine Learning-Based Approach
|
---|---|
Chapter number | 83 |
Book title |
Advances in Informatics and Computing in Civil and Construction Engineering
|
Published by |
Springer, Cham, October 2018
|
DOI | 10.1007/978-3-030-00220-6_83 |
Book ISBNs |
978-3-03-000219-0, 978-3-03-000220-6
|
Authors |
Kadir Amasyali, Nora El-Gohary, Amasyali, Kadir, El-Gohary, Nora |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 50% |
Lecturer | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 58% |
Energy | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Unknown | 3 | 25% |