Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Unlock Wind & Solar Potential with Physics-Informed Neural Networks applies hybrid physics-plus-ML modelling to renewables. You learn how physics-informed neural networks blend the governing physics of wind flow and solar irradiance with data, producing models that forecast generation and optimise siting and operation more reliably than data alone — especially where measurements are sparse. The course connects PINNs to real wind and solar problems. You finish able to reason about applying physics-informed neural networks to renewable energy. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course applies physics-informed neural networks (PINNs) to wind and solar energy — combining physics with machine learning to model, forecast and optimise renewable generation.
📋 Course Objectives
1. Explain physics-informed neural networks.
2. Model wind flow and solar irradiance.
3. Forecast renewable generation with PINNs.
4. Optimise siting and operation.
5. Apply PINNs where data is sparse.
👥 Who Should Enroll?
• Renewable-energy engineers
• Scientific-ML researchers
• Energy data scientists
• Students of computational energy
🚀 Key Learning Outcomes
• An understanding of PINNs for renewables.
• A physics-plus-ML perspective.
• A renewable-modelling project.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
AI Fundamentals, Mathematics, and Unlock Wind & Solar Potential With Physicsinformed Neural Networks (Pinns) Foundations
Implement Biotechnology with Solar for practical ai fundamentals, mathematics, and unlock wind & solar potential with physicsinformed neural networks (pinns) foundations applications and outcomes. • Design Unlock with Wind for practical ai fundamentals, mathematics, and unlock wind & solar potential with physicsinformed neural networks (pinns) foundations applications and outcomes. • Analyze Biotechnology with Solar for practical ai fundamentals, mathematics, and unlock wind & solar potential with physicsinformed neural networks (pinns) foundations applications and outcomes.
Data Engineering, Preprocessing, and Feature Pipelines
Implement Biotechnology with Solar for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Design Unlock with Wind for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Analyze Biotechnology with Solar for practical data engineering, preprocessing, and feature pipelines applications and outcomes.
Model Architecture, Algorithm Design, and Unlock Wind & Solar Potential With Physicsinformed Neural Networks (Pinns) Methods
Implement Biotechnology with Solar for practical model architecture, algorithm design, and unlock wind & solar potential with physicsinformed neural networks (pinns) methods applications and outcomes. • Design Unlock with Wind for practical model architecture, algorithm design, and unlock wind & solar potential with physicsinformed neural networks (pinns) methods applications and outcomes. • Analyze Biotechnology with Solar for practical model architecture, algorithm design, and unlock wind & solar potential with physicsinformed neural networks (pinns) methods applications and outcomes.
Training, Hyperparameter Optimization, and Evaluation
Implement Biotechnology with Solar for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Design Unlock with Wind for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Biotechnology with Solar for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects.
Deployment, MLOps, and Production Workflows
Implement Biotechnology with Solar for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Design Unlock with Wind for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Biotechnology with Solar for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects.
Ethics, Bias Mitigation, and Responsible AI Practices
Implement Biotechnology with Solar for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Design Unlock with Wind for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Analyze Biotechnology with Solar for practical ethics, bias mitigation, and responsible ai practices applications and outcomes.
Industry Integration, Business Applications, and Case Studies
Implement Biotechnology with Solar for practical industry integration, business applications, and case studies applications and outcomes. • Design Unlock with Wind for practical industry integration, business applications, and case studies applications and outcomes. • Analyze Biotechnology with Solar for practical industry integration, business applications, and case studies applications and outcomes.
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | Keras |
| Covered Tool / Platform | CUDA |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Weights & Biases |
Frequently Asked Questions
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