📅 Module 1 – Foundations of Microclimate & Data Acquisition

• Microclimate Basics: Understand how temperature, humidity, and light interact under solar panels, and how shading effects impact these conditions.
• Dataset Overview: Get familiar with the environmental datasets chosen for the course.
• Exploratory Data Analysis (EDA): Learn how to analyze and visualize trends in environmental data, gaining insights into microclimate patterns.

📅 Module 2 – AI Modeling for Microclimate Simulation

• Basic Simulation Techniques: Learn fundamental simulation methods for modeling microclimates in solar energy systems.
• Feature Engineering for Shading & Optimization: Understand how to create meaningful features related to shading and microclimate conditions.
• Model Evaluation: Gain practical knowledge in evaluating the performance of AI models.
• Tools: Python, NumPy, Pandas, Scikit-learn, and Matplotlib.

📅 Module 3 – Optimization & Deployment

• Optimizing Light, Temperature, and Humidity: Learn how to optimize environmental factors to improve solar system efficiency.
• Scenario Simulations: Model different scenarios to understand how various factors influence the system’s performance.
• Linking Models to Real-World Insights: Connect the models to practical insights that can be applied to real-world solar farm planning.
• Visualization & Simple Apps: Visualize results and build simple applications to showcase your work.

Course Outcomes

• Understand Microclimate Principles: Learn how temperature, humidity, and light affect solar energy performance under panels.
• Apply AI Models & Simulation Techniques: Gain hands-on experience using AI and simulation models for microclimate prediction and optimization.
• Use Smart Sensors & IoT for Monitoring: Understand how to use real-time data to support decision-making in solar energy systems.
• Optimize Solar System Performance: Learn how to optimize temperature, light, and humidity conditions to enhance system efficiency and crop growth.
• Design Sustainable Solar Installations: Develop strategies for integrating AI in solar energy systems to create sustainable, energy-efficient urban environments.