Hi everyone! I've been exploring the battery arbitrage space for the past few months and wanted to share my most recent project: I built a battery arbitrage backtester that finds the optimal charging schedule using LP, and tests it against three forecasting approaches(two rolling averages, one ML) and measures how much of the theoretically available market value was captured. I pooled data from different EU market zones to train a LightGBM model and trained a separate one for Britain, which is why the rolling average model overtook the ML model in Germany's results, for example, which was an interesting result. Article and Streamlit dashboard to play around with here if anyone's curious: https://kilowatthours.substack.com/p/building-a-battery-arbitrage-backtester https://bessarbitragedemo.streamlit.app/ I'm currently working on multi-battery coordination and whether batteries "knowing" more about the grid's topology can improve dispatch results, and using a neural network for the congestion signal. Curious to hear your feedback, and if anyone's working on battery optimization or grid ML, would love to connect.

I am sharing this energy job report. It says the U.S. energy sector employed 8.5 million workers in 2024, accounting for 5.4% of all U.S. jobs, and is showing that energy remains a major source of stable, high-paying work across the country. The report’s key points are that energy jobs exist in every state. The largest employment areas were: - Energy Efficiency (2.38 million) - Transmission, Distribution, and Storage (1.46 million), - Fuels (1.05 million), - Electric Power Generation (933,800); - Texas, California, and Michigan had the most energy jobs overall; and the 2025 edition newly adds more detailed data on wages, benefits, occupations, and state-level trends to give a fuller picture of the U.S. energy workforce.

I see many students who want to stay home and so they ask for remote work all the time. Also I see many who go to work and do not dress well. Here is the truth for the job: Truth1: Go 3-4 times every week to the office so others see you. Your presence is very important. Smile and be professional. This plays a role for your promotion. If you stay home most of the time, you will not be promoted and people will forget you. Truth2: Do not use AI a lot at workplace because every computer has trackers and gives your managers a distribution of time (with plots) of how much you used AI and for how long. There is a software (hidden) that summarises your activity on the computer at work. So be careful : if they see that you cannot write code, and all you do is copy-paste from Chat GPT the code, they will fire you sooner or later. Silently one day they will fire you and they will not tell you why most likely. Be careful. Also you can use it on your phone, but it is time consuming.. Ofcourse they have AI tools but you must write code yourself. Truth3: If you go to non-code positions, it is more stressful and more competitive than code positions. Often, you get lower salary also. Because people in energy are scared of coding, and do not like it. So you get an advantage if you can code , understand code etc. Not super . Just basic things. Eg understand Python . Understand ML. etc Truth4: Do not share personal stories with co-workers. They are competing with you for promotion so they want you to fail ... Be careful. Do not share sensitive things. Truth5: Becareful of your social media presence. Managers spy on you e.g. they have fake profiles and are your friends. They will find your second, third etc profiles. They can find your anonymous X profile where you troll people . They have the ability to find you because they have software tools that you do not know . Truth6: yes the online courses here are all you need. But please fix your CV. Align it with energy companies. Do not just design your CV yourself. Get feedback here. Most CVs look rubbish. Try work on your CV carefully.

Just a little reminder ! I was in an energy conference in Australia travelling, and it was about energy jobs. Here are some points from top recruiters (eg director of HR in Chevron, director of HR in Total etc): --> energy is a global marketplace. Companies in Australia/Europe/Asia/Africa/America hiring people from all over the world And they sponsor VISAs. And no lay offs! No AI threat. Energy is considered TOO critical and humans are needed. Also be careful with CVs!!! dont just send randomly ! Many people apply to 20, 50, even 100 jobs…And still get no response. Why? Because job application today is not about volume it’s about alignment. Are you: • Applying to roles that truly match your experience? • Reading the job description carefully? • Positioning yourself based on what the employer is actually asking for? • Following application instructions properly? One small mistake in your application can cost you an interview. So you must: • Apply strategically instead of randomly • Align your experience with job requirements • Structure strong application responses • Navigate remote, hybrid, and on-site roles confidently Job searching is competitive, but with the right approach, you can stand out. I strongly recommend you use the service of CV feedback here. Everytime you apply for a job! Don't just send a CV. Same for interview! And last: BELIEVE THAT YOU CAN GET THE JOB. Stop thinking negatively. Tell yourself "I DESERVE THIS JOB."

Space based solar power means to deploy large solar photovoltaics panels on satellites to collect sunlight and then beam the energy to Earth in the form of microwaves. On earth, huge ground receivers would convert it into electricity for the grid. It could help provide steady low carbon power and might become cost competitive by 2040, but early systems would be very expensive and face major technical, safety, and space security risks. See the attached screenshot for how it will work. A new report about this topic has been published in 'Classroom' , at the very end In the section "Energy Industry Support" (a special section with reports that explain the current status and trends in the energy sector). It is written in simple, easy-to-understand language with every terminology/jargon explained. It has been written by compiling data from official sources (Financial Times, Bloomberg, Wall Street Journal, the Economist, Forbes, Investors Chronicle etc). Feel free to use this report in your projects, work, or studies. Reading these reports can help with interviews, meetings, presentations, networking, and public speaking, so it is strongly recommended. “