Multi-zone building energy management using intelligent control and optimization
Bibliographic Data
| ID | 21232533 |
|---|---|
| Authors | Rui Yang (0000-0002-2036-0156, University of Toledo), Lingfeng Wang (0000-0001-6217-8865, University of Toledo, corresponding author) |
| Year | 2013 |
| Volume | 6 |
| Pages | 16-21 |
| Publication date | 2013-02-01 |
| 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.2012.07.001 |
| OpenAlex | W1972435170 |
| Language | EN |
| Citations received | 7 |
| References cited | 4 |
Architectural engineering · Building automation · Building management system · Building science · Efficient energy use · Intelligent control · Particle swarm optimization · Systems engineering · Building Energy and Comfort Optimization · Computer Science · Energy Efficiency and Management · Engineering · Smart Grid Energy Management · Artificial Intelligence
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Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems
A novel loss-based energy management approach for smart grids using multi-agent systems and intelligent storage systems
The comparison of some advanced control methods for energy optimization and comfort management in buildings
| Unique citing works | 7 |
|---|---|
| Citations per year | 0,58 |
| Citation span | 2014 - 2026 (13) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |