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5.0 (1,874)·34h 18m · 323 lectures
$3.00$12–$199up to −98%
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Applied Optimization Modeling: Pyomo, GAMS & Mosel
Master Industry Tools for Energy Systems, Emissions Forecasting & Resource Planning
5.0188 reviews1,119 learners
- All Levels
- 2h 22m video
- 29 lectures
- English
- Captions
- Updated 2026
Taught by Algorithmic Economist, PhD
- 2h 22m of on-demand video
- 29 lectures across 6 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
6 sections29 lectures2h 22m total
- Introduction4:17
- Additional Case Studies0:31
About this course
WHO I AM: I hold a PhD from Imperial College London. My expertise is in power system economics, energy finance and energy markets, using machine learning, data science and optimisation. BONUS: After you enrol, visit the very last lecture for a special gift. What You'll Learn: How to model and solve real-world optimization problems using GAMS, Pyomo, and Mosel How to handle large-scale optimization problems with multiple constraints and variables How to master fundamental concepts: optimality, infeasibil…
Before you start
- No programming experience required
- No optimization background needed
- Familiarity with Excel helpful but not required
- Software installation instructions provided for all tools
- Just need a computer and willingness to learn
Who it’s for
- Energy Economists & Planners optimizing grid operations and renewable integration
- Operations Research Analysts solving complex logistics and resource allocation problems
- Environmental Consultants forecasting emissions for sustainability planning
- Supply Chain Managers minimizing costs and improving distribution networks
- Graduate Students & Researchers in engineering, economics, or operations research
- Data Scientists adding optimization modeling to their analytical toolkit
- Financial Analysts working on portfolio optimization and risk management
- Anyone solving decision problems requiring mathematical optimization
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