AI for Smart Building Design & Energy-Efficient Systems

• 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.

• 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.

• 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.

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