Microclimate Simulation under Solar Panels
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Course Overview
Table of Contents
Workshop Registration End Date :09/16/2025
Program Syllabus
Module 1
About
Microclimate Simulation under Solar Panels – AI-Enabled Models for Temperature, Humidity, and Light Optimization” is a 3-day practical workshop that teaches how to build, evaluate, and deploy simple AI models to simulate and optimize microclimate conditions in solar energy systems, such as agrivoltaic farms.
Participants will explore data loading, basic preprocessing, simulation modeling, rule-based and machine learning approaches, and optimization techniques. Case studies from real-world solar farms, weather monitoring, and environmental datasets will be integrated for hands-on experience using guided Python notebooks.
Module 2
Aim
To train participants in designing and applying AI models for simulating microclimate under solar panels, optimizing factors like temperature, humidity, and light to enhance energy production, crop growth, and system efficiency in sustainable solar deployments.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Microclimate Simulation under Solar Panels
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Workshop Objectives
Build simple AI models for microclimate simulation under solar panels
Quantify and visualize optimizations for temperature, humidity, and light
Analyze and interpret solar microclimate datasets using beginner-friendly tools
Deploy basic simulations and visualizations for project planning
Module 4
Workshop Structure
Module 5
📅 Day 1 – Foundations of Microclimate & Data Acquisition
- Microclimate Basics (Temperature, Humidity, Light under Solar Panels) and Shading Effects
- Discussions about the Dataset chosen
- Exploratory Data Analysis and Visualization of Environmental Trends
Module 6
📅 Day 2 – AI Modeling for Microclimate Simulation
- Basic Simulation Techniques
- Feature Engineering for Shading and Optimization
- Model Evaluation
- Tools: Python, NumPy, Pandas, Scikit-learn, Matplotlib
Module 7
📅 Day 3 – Optimization & Deployment
- Optimizing Light, Temperature, and Humidity for Solar Efficiency
- Scenario Simulations
- Linking Models to Real-World Insights
- Visualization & Simple Apps
Module 8
Intended For
Renewable energy engineers and solar system designers
Data analysts and beginners in environmental AI
AI/ML enthusiasts working in sustainability and agriculture
Government solar policy officers and urban planners
Graduate students and researchers in solar energy or climate modeling
Module 9
Important Dates
Module 10
Registration Ends
09/16/2025
Indian Standard Timing 4:30
Module 11
Workshop Dates
09/16/2025 to 09/16/2025
Indian Standard Timing 5:30
Module 13
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 17
Industry Professional Fee
INR. 5999
USD. 95
List of Currencies
Module 18
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 19
Key Takeaways
Module 22
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 23
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