Energy Investments using Data Science / Optimization (Pyomo)

Summary:

This course uses  data science and mathematical optimization specifically for investments in energy projects.

Assume that you are a consultant and a company hires you to a client that plans to make investments in energy projects.

This course gives you all the skills you need because it is based on real world industry projects. Step – by –step we build optimization models specific to industrial energy investment projects.

All videos have accurate subtitles (i.e. not the auto–generated ones, but accurate ones for maximum clarity).

Who I am:

I am Research Fellow, leading the Research in industry projects in Mathematical Optimization & Data Science applied to Energy Investments, at Imperial College London.

I have a PhD in Analytics and Mathematical Optimization, applied to Energy Investments, from Imperial College London.

The old energy landscape is steadily being replaced by a new energy landscape that produces and consumes Big Data. To understand the new energy landscape we therefore need to adapt and make use of state–of–the–art Big Data algorithms and methods based on the latest advances on Data Science & Optimization.

I offer specialized education and consultancy on Data Science, Optimization, Finance, all focused on energy investments.

Make sure you sign up to be informed about my regular free webinars, to participate in quizzes, and to download publications and extra material.