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Mendeley readers
Chapter title |
Improved Hourly Prediction of BIPV Photovoltaic Power Building Using Artificial Learning Machine: A Case Study
|
---|---|
Chapter number | 26 |
Book title |
Emerging Trends in Intelligent Systems & Network Security
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-15191-0_26 |
Book ISBNs |
978-3-03-115190-3, 978-3-03-115191-0
|
Authors |
Dourhmi, Mouad, Benlamine, Kaoutar, Abouelaziz, Ilyass, Zghal, Mourad, Masrour, Tawfik, Jouane, Youssef |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 25% |
Student > Bachelor | 1 | 13% |
Lecturer | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Chemical Engineering | 1 | 13% |
Computer Science | 1 | 13% |
Energy | 1 | 13% |
Materials Science | 1 | 13% |
Unknown | 4 | 50% |