Dean Shabi
Renewable Energy AI Expert
6+ years developing AI-powered forecasting systems that optimize renewable energy trading and grid operations
Energy Management Dashboard
Key Performance Metrics
Generation Forecasts
Background & Expertise
AI Engineer & Data Scientist with a background in physics and electrical engineering, specializing in UK/EU energy markets with 6+ years helping early-stage, seed, and Series A startups build production AI systems for renewable energy trading and forecasting.
UK & EU Energy Markets
Deep expertise in European energy regulations, trading frameworks, and market mechanisms. Specializing in renewable energy integration and grid optimization strategies.
Proven Results
Production systems deployed across European energy companies with quantified business results and measurable ROI.
Technical Excellence
Advanced mathematical and AI techniques for energy systems optimization, forecasting, and trading algorithms.
Portfolio
AI-powered solutions for renewable energy forecasting, grid optimization, and energy trading with quantified business impact
High-Accuracy Forecasting Models
Led the development of long-term load, generation, and price forecasting models—including PV generation, battery degradation, and price forecasting. These models power core product features, support trading decisions, and reduce balancing costs.
Portfolio Pricing Engine
Built a risk-based pricing optimisation algorithm that enables energy companies to grow rapidly while balancing risk and competitiveness—a critical edge in volatile energy markets.
Exempt Supply Matching Algorithm
Created a unique matching algorithm under UK regulations that optimally pairs SME energy consumers with local generators, unlocking ~£50/MWh in cost savings—generating millions in new revenue.
EV Driver Behaviour Simulator
Developed a modular, agent-based simulator to model heterogeneous electric vehicle charging behaviours across diverse driver populations, with an interactive Streamlit dashboard for scenario testing.
UK's Wind Energy Generation ⚡💨
Developed an advanced machine learning model for day-ahead wind power forecasting with remarkable improvements in accuracy, exceeding existing solutions by up to 57%.
Client Success Stories
Imogen
Product Manager, tem.
Dean's work has been consistently impressive — his ability to structure complex information at the right level of depth, focus on insights over raw metrics, and adapt quickly to feedback really stood out. His first project was managed with care and clarity, and I always felt well informed throughout. He's shown great initiative by improving his approach between updates and being open to more efficient async workflows. All in all, he's doing brilliantly — I've been consistently impressed with his execution and thoughtfulness.
Contact Me
Have a project in mind? Let's discuss how I can help bring your ideas to life.
Get in Touch
Location
Prague, Czech Republic
Schedule a Consultation
Book a 30-minute consultation to discuss your energy AI project needs and explore how we can work together.