 |
| VECTOR | [3-0-0:3] |
|---|---|
| PREVIOUS CODE | SEEN 6000D |
| DESCRIPTION | This course aims to introduce the current situation on biologically inspired intelligence in smart buildings. Students will be well trained to conduct statistical analysis and programming experiments; to learn the principles of Artificial Neural Network, fuzzy logic, optimization algorithms and their applications to engineering problems. Technologies for the building role transition from traditional consumers towards prosumers will be comprehensively introduced through ‘source-grid-demand-storage-usage’. Peer-to-peer energy trading, cost-benefit business models and internet of energy things will be introduced. Lastly, in order to guarantee the power supply reliability during extreme weather or war period, energy resilience of distributed energy supply systems will be introduced. Multi-disciplinary areas will be involved in this subject, like fundamentals of artificial intelligence, thermodynamics, heating, ventilation and air conditioning, system modelling and simulation, renewable energy, energy economics, energy policy, and so on. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6063) | 02-SEP-2024 - 06-DEC-2024 Mo 03:00PM - 05:50PM | Rm 202, E4 | ZHOU, Yuekuan | 40 | 14 | 26 | 0 |