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Mendeley readers
Chapter title |
Analyzing and Predicting Power Consumption Profiles Using Big Data
|
---|---|
Chapter number | 31 |
Book title |
Dependability in Sensor, Cloud, and Big Data Systems and Applications
|
Published by |
Springer, Singapore, November 2019
|
DOI | 10.1007/978-981-15-1304-6_31 |
Book ISBNs |
978-9-81-151303-9, 978-9-81-151304-6
|
Authors |
Amelec Viloria, Ronald Prieto Pulido, Jesús García Guiliany, Jairo Martínez Ventura, Hugo Hernández Palma, José Jinete Torres, Osman Redondo Bilbao, Omar Bonerge Pineda Lezama, Viloria, Amelec, Pulido, Ronald Prieto, Guiliany, Jesús García, Ventura, Jairo Martínez, Palma, Hugo Hernández, Torres, José Jinete, Bilbao, Osman Redondo, Lezama, Omar Bonerge Pineda |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 20% |
Professor > Associate Professor | 1 | 20% |
Unknown | 3 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 20% |
Engineering | 1 | 20% |
Unknown | 3 | 60% |