Energy Weather Nowcasting

Our project intersects meteorology and energy, addressing the need for accurate short-term weather forecasts that are critical for the operation and strategic planning of the energy sector. Using machine learning technology, we’re overcoming timeliness limitations of traditional physics-based weather models, which take immense amounts of computing power to run.

Our approach utilises machine learning algorithms to rapidly process real-time weather data, enabling us to predict short-term weather changes more accurately. This work benefits the energy sector through increased operational efficiency and grid stability, ultimately driving down costs and improving decision-making in an increasingly weather dependent energy system.