Pre-Briefing for the 3rd Wind Power Generation Forecast AI Competition
GS E&R (078930) has launched a search for convergence-type talent capable of combining renewable energy such as wind power with artificial intelligence (AI) technology.
GS E&R said Monday that a workshop for prospective participants of the "3rd Wind Power Generation Forecast AI Competition (BARAM 2026)" was held at GS Tower in Gangnam-gu, Seoul, on Friday. "BARAM 2026" will run from July 6 to August 14.
About 200 attendees, including current university and graduate school students, those on academic leave, and graduates, took part in a total of seven sessions: power market system reform and the journey of the competition; energy transition in an era of climate risk and the role of weather information; data utilization in the energy industry transformed by AI; from lab to production; an introduction to GS Group's AI use cases; basic training on wind power generation forecasting; and a pre-briefing for the wind power generation forecast AI competition.
Technology to accurately forecast renewable energy generation is gaining greater industrial value ahead of the full expansion of the renewable energy bidding system. If irregular generation volumes, which vary by weather conditions and time of day, cannot be accurately forecast, generators must be additionally operated or shut down. This is directly linked to the profitability of power generation operators.
Wind power, in particular, is more difficult to forecast than solar power. Because of its location in mountainous terrain, not only do the position and altitude of each generator differ even within the same generation complex, but the characteristics of the wind also vary.
Based on its experience operating a 126-megawatt large-scale onshore wind power complex in the Yeongyang and Yeongdeok areas of North Gyeongsang Province and a wind-linked energy storage system (ESS), GS E&R developed its own AI generation forecasting system. Building on this, the company is currently participating in a 900-megawatt renewable energy generation forecasting project and a virtual power plant (VPP) pilot project in the Jeju region.
"Accurate renewable energy generation forecasting goes beyond simple data analysis to become a core competitive edge that will drive the sustainable growth of the future power industry," said Hwang Byung-so, CEO of GS E&R. "We hope this competition becomes an arena of opportunity where young talent who will lead the future energy industry can fully demonstrate their capabilities."
Original reporting by Yoo Hyun-wook for Seoul Economic Daily.
AI-translated from Korean. Quotes from foreign sources are based on Korean-language reports and may not reflect exact original wording.
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