Use Optimization (Python, GAMS) to model Industrial Systems
Learn how to model chillers, furnaces, CHP, Batteries, EHP systems using Optimization in Python and GAMS
What you'll learn
- You will develop Optimization Models (Python/GAMS) that model industrial sytems (transformers, batteries, furnaces, etc). Very useful for industry & academia.
- All the Python code, and many publications and books are all available for you to download!
- The course is regularly updated. Come back here every 6-12 months to download the updated code & publications and watch updated videos!
- Don't forget to visit the official Energy Data Science Academy at www [dot] energydatascience [dot] com
- Anytime you need help, the course Instructor replies within hours!
Description
BIOGRAPHY
A team (PhD) specialized in teaching Data Science (including artificial intelligence, machine learning, and optimization) for the energy sector (investments, economics, etc.). Visit the official website of the Energy Data Science Academy to find online courses about data science applications in the Energy Sector. Visit www [dot] energydatascience [dot] com.
THE COURSE IS UPDATED EVERY 6-12 MONTHS. VISIT OFTEN!
The content (videos/code) is updated every 6-12 months (e.g. new publications become available for download). Come back often!
ANYTIME YOU NEED HELP, SEND A PRIVATE MESSAGE OR USE THE Q&A FORUM. YOU WILL GET A REPLY WITHIN HOURS FROM THE INSTRUCTOR!
You can send a private message or write your question in the Q&A forum inside the course!
FIND HUNDREDS OF COURSES
Visit www [dot] energydatascience [dot] com and explore hundreds of specialized courses!
WHAT THIS COURSE IS ABOUT
Learn how to develop optimization models (Python/GAMS) for the systems used in the industry, such as chillers, batteries, EHP systems, furnaces, transformers, etc. This is very useful if you plan to work in power stations, manufacturing plants, factories, or any other industrial facility.
Learn the modelling concepts in Pyomo/Python and GAMS from scratch. Each language is highly valued in industry and academia!
Apply your learning through practical examples, real-world case studies, and industry-relevant projects, equipping yourself with the skills and confidence to use these tools effectively in professional/industrial and academic contexts.
Who this course is for:
- Students aiming to work in industry as operations researchers / optimization engineers / data scientists
- Anyone working in industry or plans to participate in projects for the industry sector
- Researchers needing to model optimization problems for the industry sector
- Anyone curious about mathematical optimization and its practical applications in industry
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