Name
Title | ||
|---|---|---|
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management |
Abstract | ||
|---|---|---|
This paper investigates the multi-objective optimal operation problem of an integrated energy system (IES) which integrates grid-connected photovoltaic (PV) generator, gas boiler, battery energy storage system, and thermal storage to satisfy energy demand in forms of electricity and heat. To handle the changes from the system uncertainty (e.g., PV generation, electrical loads, thermal loads, etc.)... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICTAI52525.2021.00082 | 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) |
Keywords | DocType | ISSN |
integrated energy system,multi-objective optimization,deep reinforcement learning,evolutionary computing | Conference | 1082-3409 |
ISBN | Citations | PageRank |
978-1-6654-0898-1 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Huang | 1 | 0 | 2.37 |
| Long Wang | 2 | 51 | 12.95 |
| Xiong Luo | 3 | 96 | 17.06 |
| Hongcai Zhang | 4 | 14 | 4.09 |
| Yonghua Song | 5 | 16 | 7.16 |