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Home Energy Data Intelligence

What is the main goal for this project?
This project explores how artificial intelligence can be used to improve energy efficiency in residential buildings. The primary goal is to build a digital platform that automates the interpretation of property-related energy data, helping support faster home energy assessments and data-driven sustainability efforts.

What tasks will learners need to complete to achieve the project goal?

  • Prepare and clean structured data related to residential energy systems.
  • Assist in developing cloud-based tools for data integration and validation.
  • Explore techniques such as OCR to extract insights from energy-related documents or images.
  • Support the transformation of datasets into standardized schema formats.
  • Analyze performance data to refine data processing workflows.
  • Contribute to building reusable, modular components for scalable application.

These tasks provide learners exposure to clean tech, smart data workflows, and sustainable building analytics.

How will you support learners in completing the project?
Learners will work alongside mentors with experience in AI, cloud computing, and sustainability tech. They'll follow sprint-based learning cycles, use collaborative development tools, and receive regular technical feedback. This supportive environment helps participants build practical skills while contributing to real-world climate and energy solutions.

ABOUT INDUSTRY PARTNER
  • Properate
  • Energy
  • Properate uses AI and spatial computing to simplify home energy upgrades and accelerate Canada's transition to net-zero. The platform empowers homeowners, contractors, and program managers with data-driven insights to optimize retrofit decisions, scale heat pump adoption, and reduce emissions from residential heating and hot water systems.