Artificial Intelligence Techniques for a Scalable Energy Transition
Springer International Publishing
Title |
Artificial Intelligence Techniques for a Scalable Energy Transition
|
---|---|
Published by |
Springer International Publishing, June 2020
|
DOI | 10.1007/978-3-030-42726-9 |
ISBNs |
978-3-03-042725-2, 978-3-03-042726-9
|
Editors |
Sayed-Mouchaweh, Moamar |
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Brazil | 1 | 20% |
Italy | 1 | 20% |
Unknown | 1 | 20% |
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 16% |
Student > Ph. D. Student | 8 | 12% |
Professor | 6 | 9% |
Student > Master | 4 | 6% |
Researcher | 2 | 3% |
Other | 5 | 7% |
Unknown | 31 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 15 | 22% |
Computer Science | 8 | 12% |
Business, Management and Accounting | 4 | 6% |
Energy | 3 | 4% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 6 | 9% |
Unknown | 30 | 45% |