Made on
Tilda
SmartRen combines meteorology, energy engineering and machine learning to develop methods for renewable energy projects. Our work connects scientific questions with the practical needs of operators, developers and energy traders.
We develop and refine approaches to weather-to-power modelling, local calibration and the combination of meteorological and operational data. The goal is more useful day-ahead and intraday forecasts across different sites and operating conditions.
We investigate how long-term weather data, site measurements and equipment characteristics inform energy-yield estimates, micrositing and project risks.
Our development cycle is iterative: identify a problem, build a candidate method, test it on held-out data and compare it with a baseline. We assess performance by site, forecast horizon and weather regime rather than relying on a single headline accuracy claim.
We welcome collaboration with universities, research groups and industry partners on applied renewable energy research.
Potential topics include joint studies, method benchmarking, resource assessment and research using real-world energy data. Data access, confidentiality and publication terms are agreed for each project.
Share your research topic, available data and intended outcome. We can discuss the scope, evaluation approach and next steps together.