Artificial Intelligence Techniques for a Scalable Energy Transition
Springer International Publishing
Chapter title |
A Review on Non-intrusive Load Monitoring Approaches Based on Machine Learning
|
---|---|
Chapter number | 5 |
Book title |
Artificial Intelligence Techniques for a Scalable Energy Transition
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-42726-9_5 |
Book ISBNs |
978-3-03-042725-2, 978-3-03-042726-9
|
Authors |
Hajer Salem, Moamar Sayed-Mouchaweh, Moncef Tagina, Salem, Hajer, Sayed-Mouchaweh, Moamar, Tagina, Moncef |
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Master | 2 | 13% |
Professor | 1 | 6% |
Researcher | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Energy | 2 | 13% |
Engineering | 2 | 13% |
Medicine and Dentistry | 1 | 6% |
Unknown | 11 | 69% |