Industrial Optimization in Python & GAMS. Real-World Models

1. For best price copy paste this code at checkout, after removing the space in the middle: 4BE6FE178 254ED7756052. The course gets updated every 6-12 months.

Visit often to download new material. 3. Course Overview: This course teaches you how to develop and apply mathematical optimization models using Python with Pyomo and GAMS for industrial and energy system applications.

You'll start from the fundamentals, gaining hands-on experience through practical projects and real-world case studies. The course covers modeling of key technologies such as batteries, chillers, electric heat pumps, natural gas furnaces, transformers, and CHP units-components commonly used in manufacturing, chemical plants, and power systems. A unique feature of the course is its focus on forecasting CO₂ emissions up to 2050 using linear regression and World Bank data, equipping you with both optimization and data analysis skills.

Whether you're modeling an industrial process or assessing the environmental impact of energy systems, the course emphasizes practical, transferable skills. Both Pyomo and GAMS are covered in-depth, making the content relevant for both academic and professional contexts. By the end, you'll be confident in building and implementing optimization models from scratch for real-world challenges.