📅 Day 1 – AI for Smart Building Design
- Introduction to AI applications in designing energy-efficient and sustainable buildings.
- Hands-on: Developing smart building designs using AI to optimize energy consumption (Google Colab).
- Energy Management Systems for Smart Buildings: AI-driven optimization of HVAC and lighting systems.
- Hands-on: Building AI-based energy management systems for smart buildings (Jupyter Notebook).
👉 Outcome: AI-driven smart building and energy management models + .ipynb.
📅 Day 2 – AI for Energy Consumption Forecasting & Environmental Impact Reduction
- Using machine learning models to predict and optimize energy consumption in buildings.
- Hands-on: Building energy consumption forecasting models (Google Colab).
- AI-based techniques to reduce the carbon footprint and environmental impact of buildings.
- Hands-on: Building AI models for environmental impact reduction in smart buildings (Jupyter Notebook).
👉 Outcome: Energy consumption and environmental impact reduction models + .ipynb.
📅 Day 3 – AI in Building Automation & Renewable Energy Integration
- Exploring how AI can automate and optimize building functions for energy efficiency and comfort.
- Hands-on: Implementing AI in Building Automation Systems (BAS) for energy optimization (Google Colab).
- Integrating renewable energy systems in smart buildings: AI for managing solar, wind, and other energy sources.
- Hands-on: Developing AI-driven renewable energy integration models for buildings (Jupyter Notebook).
👉 Outcome: AI-driven building automation and renewable energy integration models + .ipynb.
