Applied Optimization Modeling: Pyomo, GAMS & Mosel

Master Industry Tools for Energy Systems, Emissions Forecasting & Resource Planning

EXTRAS

There are entire books and hundreds of papers & Python models available to download in my Skool community. I also have Financial Times articles , and over 100 online courses on Python modelling of energy markets, energy investments  etc. 

I also post job opportunities for the wider energy sector.

The value is immense!

I also do supervision which means when you start learning a course, you can message me as many questions as you need, any time e.g. daily.

This link below offers 7 days free access to this Skool community. No obligation to pay anything in advance. At the end of the 7- day period, you can decide whether you want to continue at $25/month or just cancel and leave.
Honestly, the $25/month is a very generous price . You will realise it once you join. Universities , colleges, would charge thousands! This is really a unique opportunity of immense value, at a really low cost!

Link:  www     [dot]      skool      [dot]       com/software-school-for-energy-7177

WHO I AM: 

Researcher and educator specializing in energy data science (PhD in Energy)

REGULAR ENHANCEMENTS:

Course reviewed periodically with updates.

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, infeasibility, unboundedness, duality, and slackness

• How to use Mosel's advanced features including MILP models, Excel integration, and multidimensional variables

• How to translate real industrial problems into mathematical optimization models

• How to choose the right tool (Pyomo, GAMS, or Mosel) for specific optimization challenges

Perfect For:

• Energy economists and planners optimizing grid operations and resource allocation

• Operations research analysts solving logistics and supply chain problems

• Environmental consultants forecasting emissions and planning sustainability strategies

• Graduate students in engineering, economics, or operations research

• Data scientists adding optimization capabilities to their toolkit

• Financial analysts optimizing portfolios and risk management

• Industrial engineers improving manufacturing and production systems

• Anyone needing to solve complex decision-making problems quantitatively

Why This Matters:

Optimization drives trillion-dollar decisions in energy markets, supply chains, and climate planning. As industries race toward net-zero, professionals who can model complex systems and forecast emissions are commanding premium salaries. Whether optimizing renewable energy integration, minimizing transportation costs, or forecasting CO₂ trajectories for policy planning, these skills are non-negotiable for data-driven decision making. GAMS, Pyomo, and Mosel are the industry standards used by energy companies, consulting firms, and research institutions worldwide. Master the tools that power everything from Google's data center optimization to national grid planning. These capabilities open doors to senior analyst and optimization engineer roles paying $150,000-280,000+ in energy, logistics, finance, and environmental consulting.