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Offering information, including the availability of offerings and timetabling information, is subject to change.
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If there is any inconsistency in the description of activities between the timetable and the Course Outline, the description
in the Course Outline applies.
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At times it may become necessary to cancel advertised offerings.
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| Data is correct as at Fri, 15-05-2026 01:03:07 EST |
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| ELEC9781 Special Topics in Electrical Engineering 1 |
| This course is scheduled for offering in the following teaching periods for 2026. |
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Teaching Period |
Staff Contact |
Census Date |
Notes |
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TERM ONE |
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School Office |
12-MAR-2026 |
To be confirmed: Special Topics courses are offered each term, however the course is not guaranteed to run every term. The
School will notify students if this course is going to be offered. The course has been stopped for further enrolment. If the
course is confirmed to be offered then enrolment will be opened.
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TERM TWO |
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Dr R Zhang |
25-JUN-2026 |
AI Applications in Power Systems with Renewable Energy.
This course explores how cutting-edge Artificial Intelligence (AI) techniques are transforming the future of modern power
systems. With a strong focus on renewable energy integration and the challenges of operating smart grids, students will gain
both theoretical foundations and practical skills. Key topics include:
- Introduction to the role of Artificial Intelligence (AI) in modern power systems, with a focus on renewable energy integration.
Fundamental knowledge of machine learning, deep learning, and reinforcement learning in power systems and their applications
in modern power systems, including:
- Renewable generation forecasting (wind and solar) using AI models.
- Load forecasting and demand modelling with advanced AI techniques.
- Real-time power system stability assessment and AI-based stability control
- Energy storage optimization, battery management systems (BMS), and state estimation.
- AI for microgrid management, Virtual Power Plants (VPPs), and multi-agent system coordination.
- AI-driven energy management systems (EMS).
- AI applications in electricity market forecasting, bidding strategy, and market participation.
Through hands-on projects, case studies, and guest lectures, students will develop strong skills to innovate in smart grid
environments.
Assumed Knowledge: Students are expected to have a basic understanding of power system fundamentals and basic programming
skills (e.g., Python or MATLAB), familiarity with AI algorithms is a strong advantage, and students with prior exposure are
highly encouraged to enroll.
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TERM THREE |
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School Office |
08-OCT-2026 |
Special Topics courses are offered each term, however the course is not guaranteed to run every term. The School will notify
students if this course is going to be offered. |
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| SUMMARY OF TERM ONE CLASSES
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| SUMMARY OF TERM TWO CLASSES
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| SUMMARY OF TERM THREE CLASSES
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| Activity |
Period |
Class |
Section |
Status |
Enrols/Capacity |
Day/Start Time |
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| Course Enrolment |
T3 |
1624 |
CR01 |
On Hold |
0/30 |
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| (* = jointly taught class) |
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| TERM ONE CLASSES - Detail |
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| Class Nbr |
1570 |
Section |
CR01 |
Teaching Period |
T1 - Teaching Period One |
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| Activity |
Course Enrolment |
Status |
On Hold |
Enrols/Capacity |
0/35 |
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| Offering Period |
16/02/2026 - 17/05/2026 |
Meeting Dates |
Standard dates |
Census Date |
12/03/2026 |
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| Mode of Delivery |
In Person |
Consent |
Consent not required |
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| Meeting Information |
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| Class Notes |
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| Back to top |
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| Class Nbr |
7675 |
Section |
LEC1 |
Teaching Period |
T1 - Teaching Period One |
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| Activity |
Lecture |
Status |
Open |
Enrols/Capacity |
0/35 |
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| Offering Period |
16/02/2026 - 17/05/2026 |
Meeting Dates |
Standard dates |
Census Date |
12/03/2026 |
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| Mode of Delivery |
Online |
Consent |
Consent not required |
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| Meeting Information |
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| Day |
Time |
Location |
Weeks |
Instructor |
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| Wed |
18:00 - 21:00 |
Online (ONLINE) |
1-10 |
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| Class Notes |
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| Back to top |
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| TERM TWO CLASSES - Detail |
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| Class Nbr |
1575 |
Section |
CR01 |
Teaching Period |
T2 - Teaching Period Two |
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| Activity |
Course Enrolment |
Status |
Open |
Enrols/Capacity |
10/120 |
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| Offering Period |
01/06/2026 - 30/08/2026 |
Meeting Dates |
Standard dates |
Census Date |
25/06/2026 |
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| Mode of Delivery |
In Person |
Consent |
Consent not required |
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| Meeting Information |
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| Class Notes |
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| Back to top |
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| Class Nbr |
7760 |
Section |
1A |
Teaching Period |
T2 - Teaching Period Two |
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| Activity |
Lecture |
Status |
Open |
Enrols/Capacity |
28/148 |
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| Offering Period |
01/06/2026 - 30/08/2026 |
Meeting Dates |
Standard dates |
Census Date |
25/06/2026 |
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| Mode of Delivery |
In Person |
Consent |
Consent not required |
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| Meeting Information |
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| Day |
Time |
Location |
Weeks |
Instructor |
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| Wed |
18:00 - 21:00 |
Electrical Engineering G22 (K-G17-G22) |
1-10 |
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| Class Notes |
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| Back to top |
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| TERM THREE CLASSES - Detail |
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| Back to top |
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