A bi-level reinforcement learning model for optimal scheduling and planning of battery energy storage considering uncertainty in the energy-sharing community
Bibliographic Data
| ID | 21229949 |
|---|---|
| Authors | Hyuna Kang (0000-0001-9284-3897, Yonsei University), Seunghoon Jung (0000-0001-8913-6390, Yonsei University), Jaewon Jeoung (0000-0002-3078-3013, Yonsei University), Juwon Hong (0000-0001-8224-8816, Yonsei University), Taehoon Hong (0000-0001-5136-8276, Yonsei University, corresponding author) |
| Year | 2023 |
| Volume | 94 |
| Pages | 104538 |
| Publication date | 2023-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2023.104538 |
| OpenAlex | W4324342665 |
| Language | EN |
| Citations received | 7 |
| References cited | 56 |
Economics · Electrical engineering · Electricity · Energy storage · Environmental economics · Microeconomics · Operations management · Operations research · Reinforcement learning · Simulation · Advanced battery technologies research · Computer Science · Electric Vehicles and Infrastructure · Engineering · Smart Grid Energy Management · Artificial Intelligence
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| Citations per year | 2.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |