The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning
|
---|---|
Published in |
Energy Informatics, December 2022
|
DOI | 10.1186/s42162-022-00235-2 |
Authors |
Helder Pereira, Luis Gomes, Zita Vale |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 17% |
Student > Ph. D. Student | 4 | 13% |
Unspecified | 2 | 7% |
Student > Bachelor | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Other | 2 | 7% |
Unknown | 13 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 23% |
Computer Science | 3 | 10% |
Energy | 2 | 7% |
Unspecified | 2 | 7% |
Social Sciences | 2 | 7% |
Other | 1 | 3% |
Unknown | 13 | 43% |