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21 contributions to Energy Data Scientist
Science fiction scenarios about energy
Predicting the future of energy (literature) In France, the Defense Red Team for the Ministry of the Armed Forces publishes science fiction stories that are accessible to all, offering a new way of looking at energy and geopolitical issues. Are there any current science fiction stories, scenarios, about energy in other countries? Stories written by science fiction authors who are members of a state-affiliated circle?
Science fiction scenarios about energy
1 like • 23h
Yes. The SIGMA Forum in the US, it’s a group of science fiction authors. They advise the Department of Homeland Security on future risks. I know for energy, the National Renewable Energy Laboratory in the US hosted a 'Visioning Energy' workshop. They paired sci-fi authors with researchers to write scenarios about a clean-energy future. And in China, the government heavily promotes the 'Ecological Civilization' narrative. And in this one Liu Cixin (The Wandering Earth) has analyzed insights into Chinese energy futurism
0 likes • 1d
For me: Price Forecasting much of the time.. For different markets
Building My Path in Energy Data Science
Hi everyone, glad to join this community. I’m here to deepen my skills at the intersection of energy economics and data science, and to learn from people already applying ML/AI to real energy-sector problems. My goal is to build a strong foundation in energy data science—both the analytical side and the industry context—so I can contribute meaningfully to projects in optimisation, finance, and innovation-driven energy solutions. Looking forward to connecting, learning from the program, and contributing wherever I can.
0 likes • 5d
Welcome dear Ryan. Yes, your background sounds well suited to what we cover here , energy economics, data science, and applied ML.
TTF Futures Positions
Is there any open source where i can see long and short positions on TTF Futures?
0 likes • 5d
As colleagues mentioned above , here are the main open/public sources for TTF (Title Transfer Facility) futures positioning: EEX CoT, ICE Endex CoT, and ESMA CODER58 weekly position reports. They show aggregated longs/shorts (not who exactly is long/short): https://www.eex.com/en/trading-resources/regulatory-services/mifid-ii/mifir/mifid-ii/mifir-reporting https://www.ice.com/futures-europe/mifidii https://www.meff.es/ing/Commodities-Derivatives/Weekly-Positions-Report
How do we define the "Energy Data Scientist" ?
The term 'Energy Data Scientist' means more than just a Data Scientist who works in an Energy Company. Given the skills that this Skool community teaches, what jobs does the Energy Data Scientist cover?
0 likes • 6d
@Luis G Yes and software engineering is needed in implementation consulting. With technical/specialist consulting the code is a tool to generate insights, where you build a model to answer a question like "where should we site this wind farm?" "What's the optimal battery size?". And so your deliverable is simply the insight/recommendation, not the code. The client cares about the answer, not the software. You're hired for domain expertise e.g. because you have understanding of energy markets, etc. The implementation consulting (where you wrote Accenture, Deloitte), your code is the deliverable , and so you build software that the client will use every day like a trading platform, or a forecasting dashboard . So, the code is handed over to client's IT team so they run it . So the client cares about the software working reliably. You're hired for software engineering skills . So with technical consulting they need an analyst/scientist who can code. They produce insights. And with implementation consulting , they need a software engineer .They produce code products.
1-10 of 21
Joshua Levvy
3
41points to level up
@joshua-levvy-1786
energy focus - machine learning forecast models at M. Lynch

Active 23h ago
Joined Nov 1, 2025
ISFJ
USA