| 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
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% |