Combined compromise solution and blockchain-based structure for optimal scheduling of renewable-based microgrids
Stochastic information approach
Bibliographic Data
| ID | 21231925 |
|---|---|
| Authors | Zeyang Bian (University of Shanghai for Science and Technology, corresponding author), Qi Zhang (0009-0000-5229-2496) |
| Year | 2022 |
| Volume | 76 |
| Pages | 103441 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| 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.2021.103441 |
| OpenAlex | W3207276722 |
| Language | EN |
| Citations received | 2 |
| References cited | 20 |
Demand response · Distributed computing · Electricity · Mathematical optimization · Microgrid · Renewable energy · Computer Science · Engineering · Microgrid Control and Optimization · Optimal Power Flow Distribution · Smart Grid Energy Management
Resilience-oriented adaptable microgrid formation in integrated electricity-gas system with deployment of multiple energy hubs
Contingency based energy management of multi-microgrid based distribution network
Energy management in microgrids including smart homes
Multi-agent Deep Reinforcement Learning for Distributed Energy Management and Strategy Optimization of Microgrid Market
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |