A new Career report has been uploaded to the Classroom section (6.3 - Career Reports). This Q&A guide includes common questions about electricity grids. Very useful for preparing for job interviews or confidently answering client questions as an energy consultant. For example:

A new Energy Industry report has been uploaded to the Classroom section (6.2 - Industry Reports). This report examines the growing gap between copper supply and demand, driven by AI data centers, renewable energy grids, and military spending, while existing mines age and new deposits become increasingly rare and difficult to develop. Sources: My commentary combined with the following: [1] The Economist: https://www.economist.com/science-and-technology/2025/02/26/the-skyrocketing-demand-for-minerals-will-require-new-technologies [2] Financial Times: https://www.ft.com/content/ed785287-c4db-4840-a90b-426fbd41bb5b [3] Wall Street Journal: https://www.wsj.com/finance/commodities-futures/mining-megadeal-shows-the-world-is-crazy-for-copper-3829316f [4] Investors Chronicle: https://www.investorschronicle.co.uk/content/c34da52d-7a54-46f5-aa36-0daae29587cd

Can you share some combinations of Online Courses to take, for the career pathway of Data Science for Energy and/or ML for energy and/or Optimisation for energy?

Hi everyone, I’m a Senior Software Engineer with over 10 years of experience in the IT field. I’m currently working with a U.S. based client, focusing on building scalable and high-performance web applications. I’m excited to be here and look forward to connecting and learning with you all.

For Optimisation, which of these coding languages are you using and why ? In the Classroom, all three approaches are taught : Python (using Pyomo), Xpress and GAMS. Each, is used to develop an optimisation model. Is there a better one? Is one for academia and one for industry?