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The main winners of the 'Artificial Intelligence Competition for Sustainable Energy Utilization,' hosted by the Korea Electronics Technology Institute and the Korea Institute of Industrial Technology, are posing for a group photo.
A total of 214 teams and 369 participants took part, with the theme of sustainable energy utilization.
Ulsan National Institute of Science and Technology (UNIST) took first place in the artificial intelligence competition for sustainable energy utilization.
The Korea Electronics Technology Institute (KETI, President Shin Hee-dong) announced on the 16th that it successfully held the 'Artificial Intelligence Competition for Sustainable Energy Utilization' at Spigen Hall in Seoul on the 15th.
This competition was held to discover sustainable artificial intelligence energy utilization models and derive practical ideas based on KETI's research and development and Korea Western Power Co., Ltd.'s renewable energy generation demonstration data. During the approximately six-week operation period starting from July 11, a total of 214 teams competed in two tracks.
The first track is the Energy AI competition, the core of which is to develop an AI model for predicting renewable energy generation using 'Brightics Studio,' the open-source version of Samsung SDS’s integrated AI platform, Brightics AI.
The second track was an idea competition for efficient power trading among distributed generation entities, evaluating ideas for utilizing surplus power under the assumption that power trading between residential neighbors is possible.r />
KETI and KITECH selected a total of 10 winning teams through this awards ceremony, and awarded the 1st place teams in Track 1 and Track 2 the President of the Korea Electronics Technology Institute Award (prize money of 5 million won) and the President of the Korea Institute of Industrial Technology Award (prize money of 3 million won), respectively.
The winning team of Track 1 was the 'SevenTo11' team from Ulsan National Institute of Science and Technology (UNIST), which demonstrated the achievement of developing a highly accurate renewable energy generation prediction model by verifying and selecting various models using methods such as EDA, Feature Engineering, and atmospheric pressure prediction models.
The 'Energy Grid' team from Sangmyung University was selected as the winning team of Track 2. They proposed an autonomous or brokered power trading model utilizing ideas such as the issuance of blockchain-based trading rights, and received excellent evaluations for expanding distributed energy resources and activating P2P power trading.
KETI President Shin Hee-dong stated, “Watching the participants directly develop sustainable energy AI models and generate ideas through this competition, we were able to get a glimpse of a future society that spreads green energy through AI,” adding, “KETI will continue to do its best to enhance the sustainability of local communities through electronic IT technology.”
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