As the demand for renewable energy grows, AES is heavily investing in projects such as wind farms in New York and California, solar farms in Arizona, and storage systems across various US states, Brazil, and Argentina. With a focus on expanding its offerings to meet the needs of corporate data centers in the US, the company expects to see a significant increase in demand for renewable energy solutions.
To address the challenges posed by weather uncertainty, AES is using advanced machine learning algorithms like Farseer. The Farseer model 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. This technology allows AES to better manage fluctuations in renewable energy generation and improve forecasting accuracy.
AES’s commitment to sustainable practices is reflected in its portfolio of renewable energy projects. By incorporating more sustainable practices into its operations, AES is enhancing its ability to meet growing energy demands while reducing its carbon footprint. As renewable energy continues to grow in popularity and importance, companies like AES will play an increasingly critical role in ensuring a cleaner and more sustainable future for all.
