New Year Offer End Date: 30th April 2024
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Program

AI for Smart Building Design & Energy-Efficient Systems

Transforming Building Design: AI for Energy Efficiency and Carbon Footprint Reduction

Skills you will gain:

About Program:

This workshop explores how Artificial Intelligence can revolutionize smart building design by optimizing energy use, automating systems, and reducing environmental impact. Participants will gain hands-on experience in developing AI-driven energy management systems, forecasting energy consumption, and integrating renewable energy solutions. Designed for professionals in architecture, construction, and energy management, the workshop provides practical tools for creating sustainable, energy-efficient buildings.

Aim: This workshop aims to explore AI’s role in designing smart, energy-efficient buildings by optimizing energy use, automating systems, and reducing environmental impact. Participants will gain hands-on experience in applying AI for energy management and integrating renewable energy solutions in building design.

Program Objectives:

  • Explore AI applications in designing energy-efficient smart buildings and optimizing building systems.

  • Develop AI models for energy consumption forecasting and optimization in buildings.

  • Learn to apply AI for reducing environmental impact and enhancing sustainability in building designs.

  • Gain practical skills in integrating renewable energy systems into smart buildings using AI.

  • Implement AI-driven energy management systems and automation solutions for smart buildings.

What you will learn?

📅 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.

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

2024Certfiacte

Intended For :

  • Architects, urban planners, and construction professionals focused on smart building design and energy efficiency.

  • Engineers and energy management experts aiming to optimize energy use and reduce environmental impact.

  • Researchers, academics, and students in architecture, civil engineering, AI, and energy management.

  • Professionals looking to integrate AI into building automation and energy management systems.

  • Basic knowledge of AI concepts is recommended.

Career Supporting Skills

Program Outcomes

  • Develop AI models for designing energy-efficient smart buildings and optimizing building systems.

  • Gain hands-on experience in creating AI-driven energy management systems.

  • Learn to forecast and optimize energy consumption patterns using machine learning.

  • Apply AI to reduce environmental impact and improve building sustainability.

  • Build AI models for integrating renewable energy systems into smart buildings.