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SUSS ENG235 Applications of AIoT ECA July 2026: PowerGrid SG Smart Grid Case, Singapore

Updated: 24 Oct 2026 Free Assignment Question
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      ENG235 Applications of AIoT: End-of-Course Assessment, July 2026 (SUSS)

      This SUSS ENG235 ECA for July 2026 carries 70% of the course marks over eight questions. You act as an adviser to PowerGrid SG, a multi-year smart grid and water utilities programme in Singapore, and work through four areas: AIoT use cases and value proposition, system architecture with devices and data platforms, cybersecurity, privacy and ethics, and finally a business model with a method to measure return on investment.

      Course ENG235 Applications of AIoT
      University Singapore University of Social Sciences (SUSS)
      Assessment End-of-Course Assessment (ECA), individual
      Semester July Semester 2026
      Weighting 70% of the course marks (8 questions, 100 marks)
      Case PowerGrid SG, a national AIoT smart grid and utilities initiative
      Referencing APA

      Case Context: PowerGrid SG

      Singapore runs legacy SCADA systems for the power grid, separate electricity and water metering, and siloed environmental sensors managed by different utility entities with limited data sharing. Key challenges are:

      • Rising peak electricity demand from data centres, industry and EV charging
      • Integrating intermittent rooftop and floating solar generation into a stable grid
      • Non-revenue water loss and tighter demand management
      • Ageing underground grid and water infrastructure that needs predictive maintenance
      • Public concerns about smart meter data privacy, dynamic pricing fairness and cybersecurity

      PowerGrid SG aims to deploy a national AIoT platform for smart electricity and water metering, distributed energy resource (DER) management, predictive grid and pipeline maintenance and demand-response analytics, in line with the Electricity Act, the Public Utilities Act and the PDPA. Its strategic objectives are AI-driven load and demand forecasting, automatic fault and leak detection, integration of renewables and EV charging, faster data-driven maintenance dispatch, and ethical, privacy-preserving use of consumption data.

      AIoT Use Cases, Value Proposition and Strategic Alignment (25 marks)

      Question 1

      Cite and explain ONE (1) high-impact AIoT use case for PowerGrid SG. Develop a comprehensive discussion of the selected use case by describing:

      • The problem being addressed.
      • How AIoT enables and supports the solution.
      • The expected value and outcomes (operational, social, environmental or economic).

      (15 marks)

      Question 2

      Describe how this AIoT use case aligns with PowerGrid SG’s strategic objectives and national energy and sustainability goals, considering public value creation vs commercial value, stakeholder benefits (households, businesses, grid operators, regulators) and short-term vs long-term outcomes. (10 marks)

      AIoT Architecture, Devices and Data Platforms (25 marks)

      Question 3

      Create a high-level AIoT reference architecture for PowerGrid SG, including devices and sensors (smart electricity/water meters, grid sensors, solar inverters), communication technologies, edge, fog and cloud components, and data flow and integration across grid operators, the water agency and regulators. Analyse how latency, scalability and reliability issues can be addressed. (15 marks)

      Question 4

      Formulate a data management and analytics platform for PowerGrid SG. Explain how the 8Vs of Big Data apply; the data ingestion, storage, processing and analytics layers; and the role of AI/ML models such as load forecasting, leak/fault detection and demand response. (10 marks)

      Cybersecurity, Data Privacy, Trust and Ethics (25 marks)

      Question 5

      Appraise the key cybersecurity risks in PowerGrid SG across IT, IoT and OT layers, including potential attack vectors, the impact on grid stability and continuity of essential utility supply, and differences between IT and OT security concerns. (15 marks)

      Question 6

      Appraise the ethical risks of deploying AIoT in smart metering and grid management, such as surveillance and loss of privacy through granular consumption data, bias in computer vision and decision-making algorithms, and transparency and accountability in AI-driven decisions. (10 marks)

      AIoT Business Model Design and Return on Investment (25 marks)

      Question 7

      Recommend a suitable AIoT business model for the PowerGrid SG platform, explaining the value proposition, key customers and stakeholders, revenue and funding mechanisms, and cost structure and key resources. Analyse why this business model suits an AIoT deployment within Singapore’s public-sector critical infrastructure environment. (12 marks)

      Question 8

      Develop an approach for measuring the Return on Investment (RoI) of the proposed AIoT deployment for PowerGrid SG. (13 marks)

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      Keep every answer tied to PowerGrid SG. Choose use cases that fit an energy and water network, such as predictive maintenance or demand forecasting, draw a clear layered architecture from sensors to cloud analytics, and name specific threats and controls rather than general security advice. For the ROI question, show how costs and benefits would actually be measured over time.

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