About Course

This course aims to provide learners with applied knowledge and skills on the broad range of technologies and multi-disciplinary integrative strategies.

This knowledge is necessary to implement more intelligent power systems of the near future, which can be more resilient, energy-efficient, cyber-secure, interoperable and can accommodate higher penetration of renewables while enhancing the electrification experience of consumers. The technologies include sensing & instrumentation, communications and machine intelligence, which are crucial to making power networks smart, regardless of whether the power networks are large or small, grid-connected or standalone. Before the Smart Grid becomes ubiquitous, it is also important to understand cyber-security issues and implement processes to address them at the early stage.

Skills you’ll gain
Power and Clean Energy
Electrical Engineering
Sustainability

Who Should Attend

Engineers working in the power and energy sector
IT professionals in any power and energy-related businesses
Electrical and electronic engineering professionals
Researchers and educators in electrical engineering and urban sustainability-related areas
Prerequisites
  • Bachelor degree in Engineering
  • At least one-year of relevant working experience

Learning Outcomes

Upon successful completion of the course, learners will be able to: 

  • Analyse Cyber Security Threats in Smart Grids - Identify and evaluate attack vectors, threat motivations, vulnerabilities, and privacy risks associated with smart grid and industrial control system environments
     
  • Apply Cyber Security Frameworks and Standards - Interpret and apply relevant smart grid and ICS security standards and frameworks including NISTIR 7628, IEEE 2030, IEEE 1547, ISA‑62443, EU M/490, and SGCG
     
  • Design Security Controls for Smart Grid Systems - Develop and justify security controls for smart grid endpoints, SCADA systems, data flows, and applications, including zoning, boundary protection, and situational awareness
     
  • Assess Privacy and Data Protection Risks - Conduct privacy impact assessments and evaluate personal data risks arising from advanced metering, monitoring, and communication infrastructures
     
  • Evaluate Real‑World Cyber Security Incidents and Defences - Critically analyse case studies of cyber attacks and countermeasures in smart grid and energy supply chains to inform future security strategies
     
  • Analyse Integration and Interoperability of Distributed Energy Resources - Evaluate technical and regulatory requirements for interconnection, interoperability, ride‑through performance, islanding operation, and power quality in DER‑rich power systems
     
  • Apply Monitoring, Communication, and Control Concepts - Analyse sensing, communication architectures, and information exchange mechanisms supporting demand response, distribution automation, and wide‑area monitoring
     
  • Apply Intelligence and Data‑Driven Methods in Smart Grids - Explain and apply principles of machine intelligence, distributed computation, machine‑to‑machine communication, and networked control in smart grid applications
     
  • Analyse Grid State Estimation and Stability - Evaluate system monitoring and stability using state estimation techniques, phasor measurement units, and synchrophasor‑based applications
     
  • Demonstrate Systems Thinking and Professional Practice - Integrate cyber security, power systems, communication

Teaching Team

Faculty_SivaneasanBalaKrishnan
Sivaneasan

Associate Professor/ Deputy Dir, STLA, Engineering, Singapore Institute of Technology

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Course Details

Course RunDatesTime
Aug 202631 Aug -23 Nov 2026 (Every Monday*)7:00 pm - 10:00 pm

Certificate and Assessment

A Certificate of Attainment will be issued to participants who

  • Attend at least 75% of the module; and
  • Undertake and pass credit-bearing assessment during the module; and

Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.

Fee Structure

The full fee for this course is S$3,606.88.

Funding CategoryEligible FundingCourse Fees Payable After Funding
Singapore Citizen (Below 40)70%S$1,082.06
Singapore Citizen (Above 40)
Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES)
90%S$420.25
Singapore PR / LTVP+ Holder70%S$1,082.06
Non-Singapore CitizenNot EligibleS$3,606.88


Note:

  • All fees above include GST. GST applies to individuals and Singapore-registered companies.
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