Optimization for the Industry (GAMS, Pyomo)
Learn how to model the operation of Industrial systems using Optimization in Python and GAMS.
Preview this Course
What you'll learn
- Visit www [dot] energydatascience [dot] com for more courses!
- You will learn how to use optimization of industrial energy sytems in Pyomo, and GAMS. Extremely useful for industry and academia.
- Included: all the Python code, and many publications - all available to download in the course! Also: I reply to your questions within hours!
- The course is regularly updated. Come back here every 6-12 months to download the updated code & publications!
Description
BIOGRAPHY
PhD in Energy Economics (Imperial College London). I specialize in applying data science, machine learning, and optimization to real-world energy challenges. I’ve authored multiple books and publications in this field and have extensive hands-on industry experience.
I’m also the founder of The Energy Data Science Academy, covering cutting-edge machine learning, analytics, and data science applications in the energy sector. I’m passionate about helping you harness these tools for impactful results.
Learn more and explore all my courses!
THE COURSE IS UPDATED EVERY 6-12 MONTHS. VISIT OFTEN!
I update the content every 6-12 months. Come back often to download the updated content!
WHENEVER YOU NEED HELP, JUST MESSAGE ME. I REPLY WITHIN HOURS.
Send me a private message or write your question in the Q&A forum that is inside the course.
I HAVE DEVELOPED 150 + ONLINE COURSES LIKE THIS ONE. INTERESTED?
Visit my academy at: www [dot] energydatascience [dot] com !
WHAT THIS COURSE IS ABOUT
Learn how to model and solve real-world optimization problems involving various industrial systems.
Learn from scratch the modelling concepts in Pyomo/Python and GAMS. Each language is highly valued in academia, industry, and research for modeling and solving optimization challenges, including industrial energy systems.
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 in engineering, computer science, mathematics, or related fields aiming to work with industrial systems
- Industrial Professionals who want to incorporate optimization into their work
- Industry practitioners looking to enhance their technical toolkit
- Researchers needing to model and solve optimization problems for the industry sector
- Anyone curious about mathematical optimization and its practical applications in industry
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