A new industry report has been uploaded. You can find it in the Classroom, at 6.2. This report is about European gas prices. It mentions that they have dropped to their lowest level in 18 months, falling below €30 per megawatt hour. The report identifies 3 key factors that have caused this drop. One has to do with traders' expectations about the war in Ukraine. Another has to do with the temperature in Europe this winter. A third factor has to do with the shipping costs of LNG from the U.S. This report is valuable for anyone looking to understand how geopolitics, weather, and global shipping affect energy prices , whether you're an aspiring energy trader, an investor tracking commodity markets, or simply someone who wants to understand market dynamics .

Good morning all, Please I need any materials, suggestions and if possible some past Energy Audit reports for buildings or data centers or hospital or commercial facilities etc. That will give an idea on how the manual/traditional way works so that I can use AI Thank you

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?

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?

Which companies/institutions do you follow for sector developments, reports and bulletins?