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Unlocking Renewable Forecasting Potential in Vietnam’s Energy Future

This session explores the critical role of renewable energy forecasting in Vietnam's evolving power sector. As the country integrates large-scale solar, rooftop PV, and wind power, accurate forecasting is essential to manage the variability of these resources. The session covers advancements in forecasting technology, focusing on the use of AI and machine learning to improve accuracy for solar and wind energy. It also highlights innovations in real-time monitoring through satellite imagery, specifically for rooftop PV forecasting and performance monitoring. Additionally, the session discusses how data models and monitoring systems enable better grid management and renewable energy integration. Speaker: Dr. Bui Duy Linh, with over 12 years of experience in the Renewable Energy Management Department at Vietnam's National Power System and Market Operator Company (NSMO). Moderator: Dr. Cong Feng, a researcher at the National Renewable Energy Laboratory, who specializes in decision intelligence and energy forecasting using advanced technologies like AI.