Power Smart: AI Predictions for Cutting Household Energy Use

inAI & Emerging Technologies

Background

This project introduces students to artificial intelligence (AI), energy data analytics, and sustainability concepts by tackling a significant environmental issue: high household energy consumption. Students will work to develop an AI system capable of predicting energy use based on daily activities and appliance utilization. This project aims to help families optimize their energy consumption, leading to a more sustainable lifestyle and a reduced environmental footprint. 

Learning Outcome (LO)

  • LO #1: AI for Environmental Impact Reduction 
    Understand how AI can be applied to improve energy efficiency, focusing on its role in demand forecasting and adaptive energy management within household settings.
  • LO #2: Data Analysis of Household Energy Patterns
    Develop skills in analysing energy consumption data to identify patterns influenced by various factors such as time, weather, and household activities.
  • LO #3: Smart Energy Recommendations 
    Gain the ability to provide actionable energy-saving insights based on AI predictions, aiding families in making informed decisions to reduce their environmental impact.

What is on offer?

  • 1-on-1 sessions with Ph.D. Scholars
  • Supervision and Guidance from Global Faculty
  • Assistance in Publishing Research
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