COURSE
Digitalization and Intelligence of Integrated Building Energy Systems
Function Hub / Sustainable Energy and Environment · 3 Credits
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.
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难度 · 从难到易
工作量 · 从劳累到轻松
评分 · 从苛刻到宽松
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仅展示 2026-27 Fall；历史教学班可通过学期筛选查看。
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3 Credits
官方数据更新时间: 2026-08-28 05:35:00
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Students are highly recommended to have background in building environment and energy engineering, heating, ventilation and air conditioning, thermodynamics, fluid dynamics, solar energy systems, wind turbine and energy policy.