A new report on energy trends has been published and can be found by clicking on 'Classroom' and navigating to Section 6.2 (See the attached screenshot). You can use this report and the visualisations it includes, in your own projects, work, or studies, without limits. This report is about Small Nuclear Reactors and current trends by February 2026. Big technology companies like Amazon and Google are racing to find reliable electricity to meet the massive energy demands of new AI data centers. Their primary long-term solution is investing in Small Modular Reactors (SMRs) which are smaller nuclear plants that provide steady "zero-emission" electricity. However, because SMRs take about 8 years to build, these companies are also restarting and upgrading existing nuclear plants to bridge the gap. The report includes lots of diagrams and flowcharts that provide context, and also a list of relevant sources that were used to complete this report. These sources are from the Financial Times, Wall Street Journal, the Economist and Investors Chronicle (all sources are available inside the report). Your subscription in this Skool community gives you access to paywalled energy-economics articles from these publications (Financial Times etc) indirectly through these reports. I have also included some explanations and additional text that explains some details. The text is written in beginner-friendly, easy-to-understand language. Reading these reports is helpful for interviews, panel discussions , presentations, networking, and public speaking. Strongly recommended.

Thank you for allowing me here, in your group. It is a pleasure to be here. I might be a bit away from the scientists. However, energy is a business as any other, and therefore, we can´t hide behind the "better future" phrases. The main interest of the market players is either to earn or save money. And that´s exactly where my mission starts.

Since linear and logistic regression are supervised models and are frequently used for exploratory analysis in data mining, would it be accurate to say that the distinction between data mining and machine learning is primarily methodological (discovery vs prediction) rather than algorithmic? Please feel free to share any experiences choosing to use data mining for Energy or any other industry.

The attached plot shows the level of electricity in Africa. How best can it increase? using smart grids? micrograms?

A new report has been published and examines why the prices of copper increased in 2025. Copper is a metal which is used a lot in energy. It is essential for electricity systems and it is used in wiring, motors, and many machines and in Renewable energy systems and electric vehicles. Copper is central to electrification: it is used across clean-energy technologies, and grid expansion. If copper gets more expensive, power grids, renewable projects, electric vehicles, and data centres can cost more. Sharing also a slide about copper supply (source: LSEG) ---------------------------- You can access all energy reports by clicking the 'Classroom' menu and navigating to Section 6.2. These reports have been created using the sources below (Financial Times, etc), along with my comments , all written in simple, beginner-friendly language. If you have any questions feel free to ask. By the way these sources below, all request you to subscribe to read their articles. But you don't need to subscribe because you get all the necessary content by simply reading the reports that I publish and which you can find in Classroom section 6.2. Why read these reports: they are very helpful when you find yourself in discussions related to energy or economics. It displays market awareness. How to read these reports: one read is sufficient. They are written very simply. Also, for any questions feel free to message me. [1]: Financial Times: https://www.ft.com/content/29bc6bce-7188-43f2-9f15-6894cf7aa754 [2]: Bloomberg: https://www.bloomberg.com/news/articles/2025-11-07/copper-s-huge-tariff-bet-is-back-as-traders-bid-for-us-supplies? [3]: Wall Street Journal: https://www.wsj.com/finance/commodities-futures/copper-is-2025s-hottest-commodity-c7c21ec4