AES is heavily investing in renewable energy projects like wind farms in New York, solar farms in California and Arizona, and storage systems in various US states, Brazil and Argentina. The company expects demand from corporate data centers in the US to double in the next three years due to expanding generative AI deployments.
As AES increases its renewable energy investments, weather uncertainty poses a challenge. The Farseer machine learning model is a significant advancement for the company as it uses historical weather data to predict wind farm output with higher accuracy. Through continuous iterations and updates, the model becomes more precise by analyzing daily data to propose next-day generation predictions.
With Farseer’s capabilities, AES can better manage the fluctuations in renewable energy generation and improve forecasting accuracy. This AI technology enhances the company’s ability to meet growing energy demands while incorporating more sustainable practices into its portfolio.