A series of data-driven tools and analyses for Canada's renewable energy sector — evaluating and forecasting solar, wind, and hydro performance, from functional studies to machine learning models.
Renewable energy is becoming less of an option and more of an obvious decision. The world's growth demands more electricity, and traditional resources are proving more detrimental than beneficial in the long run.
Harnessing our abundant natural resources is no longer a question of if, but how efficiently, and recent advancements are closing the gaps that once held renewables back. Better forecasting reduces uncertainty, smarter grid integration handles variability, and storage systems like BESS turn intermittent generation into reliable, dispatchable power.
With reliable data and insights, we can measure what's performing, forecast what's coming, and model what it costs to get there. That's the foundation I built this website on.
Projects currently in development — case studies, models, and tools not yet shipped.