Activity
Mon
Wed
Fri
Sun
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
What is this?
Less
More

Memberships

Software Engineering

729 members • Free

Vibe Coders Club

864 members • Free

Dev Builders

241 members • Free

Solar Operations Excellence

295 members • Free

The Solar Network

42 members • Free

Making Money in Construction

267 members • $39/month

ConstructionX AI Hub

174 members • Free

The Off Grid Collective

459 members • Free

The Code Zone Skool

452 members • $6/month

44 contributions to The Energy Data Scientist
Report
Dear colleagues, I would like to share the second part of the report I wrote some time ago. This time I have focused on a more niche topic. Also, as of June 20th, I will be participating in a short-term program in Poland. Therefore, I will be in Europe. If you are interested in working together or have any opportunities you can direct me to, I would be happy to be in touch. You can send a message through this application or contact me at mstafakaramn@gmail.com so we can discuss this in more detail.
1 like • 4d
Mr Mustafa, thank you very much for sharing this well researched piece of work. I read it and noted key things about industrial process upgrades, and transport electrification . I also value the way you treated energy efficiency as a development issue, not just an engineering issue.
1 like • 4d
And you note that Türkiye still needs a more integrated hydrogen market framework. Do you think a standalone hydrogen law is better than amending existing market laws?
Lithium mining - France
To decarbonise the electricity sector, France is mining lithium for energy storage, transport and decarbonisation! Source: https://www.lesechos.fr/industrie-services/energie-environnement/imerys-se-lance-dans-la-course-au-lithium-avec-un-projet-a-1-milliard-deuros-en-france-1872166
2 likes • 4d
Thank you. This is a meaningful step for the battery value chain in Europe. EMILI is positioned as France’s first lithium mine and a source of battery-grade lithium hydroxide. That is why I see this more as supply-chain decarbonisation than direct power-sector decarbonisation.
Reuters: UK electricity price to decouple from gas
Interesting approach. Maybe more countries could do this. This is interesting because in the UK market , gas often sets the electricity price for the whole system, even when wind, solar, and nuclear are providing most of the generation. Reuters says that the government wants to move more older low-carbon generators onto long-term fixed contracts, covering about one-third of Britain’s power supply. The goal is to reduce consumer exposure to gas-price shocks, and make the economy less vulnerable to events like the recent Middle East disruption and earlier post-Ukraine price spikes. https://www.reuters.com/business/energy/uk-accelerates-clean-energy-protect-against-fossil-fuel-price-shocks-2026-04-20/
0 likes • 4d
Yes, I think more countries could do some version of it, but probably not by copying the UK line for line. The stronger model is to keep short-term spot markets for efficient dispatch, while expanding long-term PPAs for low-carbon power so consumers and investors are less exposed to gas-price shocks.
0 likes • 4d
That is already the direction of EU reform for example
New video: Stochastic Planning vs Minimax Regret
"Network planners" are companies like - National Grid, UK Power Networks, SSEN, Northern Powergrid in the UK. - Enedis and RTE in France. - e-distribución and Red Eléctrica in Spain. - e-distribuzione and Terna in Italy; - E.ON, Netze BW, and 50Hertz in Germany; - Stedin and TenneT in the Netherlands; - PG&E, Con Edison, Duke Energy, and ERCOT in the US etc. These companies have to think about reinforcing the electricity grid years in advance. E.g. when should we upgrade a line? Which part of the network needs reinforcement first? etc Network Planners use a suite of optimisation models to make these decisions, including: - Deterministic optimisation (solving across one scenario ) - Stochastic Planning (SP) ( many scenarios , weighted by their probabilities) - Least-Worst Regret (LWR) ( ignores probabilities and protects against the worst-case regret). Each framework can point to a different "optimal" investment strategy for the same grid. Knowing why they disagree is essential. This 13-minute video comes from a consultancy project I delivered, training an energy company on the differences between LWR and SP. The company wanted an intuitive understanding of how two key inputs (probabilities and social costs) drive the differences in the optimal solutions these two frameworks produce. In the video, I walk through one worked example: a simple case focused on EV-driven demand growth, where we compare what SP and LWR recommend under different probability assumptions and different social cost values. The results show that in some cases the two frameworks agree completely, in others they point in opposite directions. This is just one example of the kind of analysis that helps planners choose the right framework for the right decision. The video is in course 120. And the new video is "5.1. Effect of Social Cost & Probabilities". The attached slide offers a summary of key results.
0 likes • 4d
Thank you
Interactive Map with Energy Projects
Found and sharing an interactive energy infrastructure map hosted by GlobalGrid2050. It maps renewable energy and storage projects for the United Kingdom only. It is including solar PV, onshore and offshore wind, and battery storage . It is getting them from the UK's Renewable Energy Planning Database (REPD). You can filter projects by technology type, planning status (from "in planning" through to "operational"), and capacity range in MW. It also overlays grid infrastructure like substation density and water utility locations. It is a useful tool for visualising the spatial relationship between generation, storage, and network assets. https://globalgrid2050.com/repd_atlas_grid_model/
1 like • 23d
The main project data comes from the REPD (Renewable Energy Planning Database), which is maintained by BEIS (now DESNZ) which is the UK government department responsible for energy. So, it tracks the planning status of renewable energy projects across the UK, including technology type, capacity, operator, location, and planning status. The map layer is OpenStreetMap (used under the ODbL licence) for the underlying geographic data.
1 like • 23d
Anyone can reproduce this in Python. Eg for France, the main one would be the registre national des installations de production d'électricité from ODRÉ (Open Data Réseaux Énergies). This has project-level data on capacity, technology, location, and status. Germany has the Marktstammdatenregister (MaStR), and at an EU-wide level there's data from ENTSO-E's transparency platform. On the Python side, the typical stack would be GeoPandas for handling spatial data and shapefiles (administrative boundaries, substation locations), Folium or Plotly for interactive map , etc and maybe Streamlit or Panel to wrap it into an interactive web app with filters (technology type, status, capacity range).
1-10 of 44
Carlos González
4
67points to level up
@carlos-gonzalez-9216
PhD candidate, energy systems

Active 4d ago
Joined Sep 23, 2025
ESFP
Asunción