Name
Abstract | ||
|---|---|---|
The optimal control of the heating, ventilation, and air-conditioning (HVAC) system in buildings has a significant energy saving potential and therefore is of a great practical interest. An event-based HVAC control adjusts control actions when certain events occur, which may be faster and more scalable than state-based or time-driven control methods. However, events may capture either local or glo... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASE.2018.2844258 | IEEE Transactions on Automation Science and Engineering |
Keywords | Field | DocType |
Optimization,Complexity theory,Temperature control,Markov processes,Discrete-event systems | Mathematical optimization,Optimal control,State information,Computer science,HVAC,Hvac control,Proof of concept,State space,Statistical hypothesis testing,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
15 | 4 | 1545-5955 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing-Shan Jia | 1 | 442 | 51.24 |
| Junjie Wu | 2 | 551 | 47.60 |
| Zijian Wu | 3 | 3 | 0.40 |
| X. Guan | 4 | 1169 | 137.97 |