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?

I a am sharing an article I found on Financial Times, about electrification. I have taken a screenshot of the article , which you can find below. Below I share the key points of the article. If you want to read the original article as it appears on Financial Times, The link to the article is: https://www.ft.com/content/7258379d-e424-420e-b651-a018e3e926dd This article is about how switching from fossil fuels to electricity can reduce global energy consumption while supporting economic growth. As developing countries continue to advance, demand for energy-intensive services such as air conditioning and transportation is expected to grow by a lot by 2050. Rather than increasing fossil fuel use, which would worsen climate change, electrification could reduce energy demand by by 24 % over the next 25 years, even as the global economy doubles in size. This improvement occurs because electric applications operate more efficiently than their fossil fuel counterparts. Traditional combustion engines convert only 25 % of fuel energy into motion, wasting the remaining 75 % as heat. Whereas electric vehicles utilize 90 % of their energy input. Similarly, heat pumps can produce 4 times more heat per unit of electricity than gas boilers can generate from the same amount of chemical energy. Renewable electricity sources such as solar and wind avoid the significant energy losses that occur when fossil fuels are converted to electricity in power plants, where 40 to 65 % of input energy is typically lost as waste heat. This transition to an electrified economy is affordable and will benefit consumers financially. Electric vehicles are already cheaper to operate than traditional cars and are becoming competitive in purchase price, particularly in markets such as China. Heat pumps, despite higher initial costs, deliver considerable savings through reduced ongoing energy expenses.

At this stage in my career, there are certain skills I need to learn and develop quickly. Since I want to move into the Quant department, I'll need to work primarily on forecasting electricity markets and understand the dynamics of these markets. Our Quant department typically focuses on demand forecasting, generation forecasting, and price forecasting. Your courses in the Classroom section cover a variety of areas, and I appreciate for all of them. However, since I need to progress quickly in these areas, do you have any alternative pathway you can recommend?

In the previous video, we said that the electricity market consists of the wholesale electricity market and the retail electricity market. The wholesale electricity market includes the day ahead market and the balancing mechanism. The wholesale electricity market includes the day ahead the market and the balancing mechanism. This video explains how the Day-Ahead market and the Balancing mechanism work. We see how much money the solar farm and the wind farm made over the course of one day. You can download the Settlement Report below. Also the video will be part of a new online course which will be available in a day days in the Classroom.

A brief history of : French energy policy The Penly construction site will serve as a reference for the construction of other EPR 2 reactors.