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Mendeley readers
Title |
Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning
|
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Published in |
Energy Informatics, December 2022
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DOI | 10.1186/s42162-022-00235-2 |
Authors |
Helder Pereira, Luis Gomes, Zita Vale |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 24% |
Student > Bachelor | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Student > Master | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 19% |
Computer Science | 3 | 14% |
Social Sciences | 2 | 10% |
Chemistry | 1 | 5% |
Unknown | 11 | 52% |