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?

A new report has been uploaded in the Classroom section (6.2 - Industry Reports). The report focuses on Chinese companies that manufacture solar Photovoltaics. These companies are now expanding into the battery storage business. So far, they were only selling/manufacturing solar Photovoltaics. However, battery storage is exponentially growing in China and globally. The opportunities are massive for profitability. Chinese solar panel makers like Longi, Trinasolar, and JinkoSolar have made billions selling solar Panels. Solar power has grown so fast that electricity grids can't handle all the electricity being produced during sunny hours. The demand for battery storage is growing exponentially. So, these companies are now moving into combined solar-and-battery systems. So, they keep the solar business, but they also add battery development. This leads to cost reductions and increases their profitability. For the full analysis, visit Classroom → 6.2 Industry Reports. This report has been written based on the following sources below, which are available only if you have subscribed to them (e.g., Financial Times, Wall Street Journal, etc.). However, since you are a subscriber to this Skool community, I bring you the key points from these developments, without you having to subscribe to them. And: you get additional important details not included in the original articles. Sources: [1] Financial Times: https://www.ft.com/content/fb8d1b58-96fd-40af-803c-41fe87cab4f9 [2] The Economist: https://www.economist.com/special-report/2025/11/03/how-china-sparked-a-rooftop-solar-revolution-in-pakistan [3] Wall Street Journal: https://www.wsj.com/world/china-renewable-energy-paris-climate-accord-ff123bfc

A new journal by Elsevier accepts Energy publications. So it is free of charge. If anyone wants to collaborate , maybe we could send a publication there. They are free of charge until 2027. After that, it is 3000 USD from what it says. It says "Transformative Energy: Hydrogen, Fuel Cells, Energy Carriers and Storage is an international, multi-disciplinary journal focused on hydrogen energy engineering and research. It aims to be a leading platform and an authoritative source of information related to clean hydrogen production with low energy consumption, high-density storage, secure transportation, and system-level integration. The journal focuses on green fuels of hydrogen and hydrogen carriers (such as ammonia, alcohols, alkanes etc.) and their applications in future sustainable energy systems. The journal welcomes papers on energy planning and management for hydrogen energy systems (such as fuel cells, water electrolysis, photoelectrochemical water-splitting etc.) along with their components, equipment, and infrastructure. It also publishes research for efficiency enhancement, performance optimization and operation control in hydrogen energy system. Hydrogen energy conversion, storage, and transport processes through experimental, analytical, numerical, and AI-assisted approaches are also within the journal’s scope. Hydrogen safety, policy, and economic assessments are within the context of the broader multi-disciplinary scope of Transformative Energy: Hydrogen, Fuel Cells, Energy Carriers and Storage". Here is the link: https://www.sciencedirect.com/journal/transformative-energy?lid=k9z8uneb0p6r&utm_source=braze&utm_medium=email&utm_campaign=STMJ_281677_CALLP_OANJLPRE&utm_content=3be1e016-162f-48c5-85d2-08d66bd43056&utm_term=3be1e016-162f-48c5-85d2-08d66bd43056_281677_CALLP-OANJLPRE_SCO-INT_NOAB_SINGLE_ALL&DGCID=STMJ_281677_CALLP_OANJLPRE

Are there any reports, current documents, and reports related to the nuclear sector and SMR that you can recommend, as well as a synthesis of the nuclear situation within WEO 2025?

I'm working on Course 5.18 (Retail Electricity Market in Python) and want to design a study to optimize energy consumption costs. My idea: For a small food business (e.g., burger shop), calculate the energy cost per product. This would involve: - Tracking appliance consumption (grill, fryer, refrigerator) - Linking to time-of-use electricity pricing - Determining which products/times are most cost-effective How would you structure this analysis step-by-step in Python? What data would I need, and which calculations are most important?