CloudN , an AIoT-based energy management company, announced on June 17 that it has begun international joint research with Korea University and Nanyang Technological University (NTU) in Singapore to develop AI-based energy saving technology.
This joint research focuses on developing AI algorithms for indoor temperature prediction and energy consumption optimization of HVAC (Heating, Ventilation, Air Conditioning) systems in large buildings and campus environments, with the goal of maximizing energy efficiency. The research is supported by the Ministry of Science and ICT of Korea and AI Singapore (AISG), and on the Korean side, Korea University and Cloud& are participating under the 'International Joint Research Project on Information and Communications Broadcasting Technology' hosted by the Institute for Information & Communications Technology Planning and Evaluation (IITP).
Professor Tae-soo Jeong's research team at Korea University is working with Cloud & to develop an indoor temperature prediction model in an open-structure large-scale building environment, and is working on building a system to improve real-time energy efficiency through an AI air conditioning control algorithm based on reinforcement learning.
Professor Chau Yuen’s team at Nanyang Technological University in Singapore is focusing on verifying AI control technology by creating a digital twin-based simulation environment using the campus as a test bed. They are predicting the energy consumption of HVAC systems in a virtual space similar to reality and deriving optimal operation algorithms to increase the possibility of practical application.
Through this study, the researchers from both countries aim to develop AI-based energy management technology that can be applied to complex environments such as large buildings and campuses, and are expected to contribute to innovation in sustainable smart building technology.
The developed technology is expected to be applied to Cloud&’s integrated energy management platform, C-BEMS (Building Energy Management System) and C-FEMS (Factory Energy Management System), and spread to commercial buildings and factories in Korea as well as Southeast Asia. This is expected to help reduce energy costs, secure carbon emissions, and promote carbon neutrality strategies.
Cloud & CEO Kim Jeong-seok said, “This collaboration is a good example of international joint research that combines academia’s expertise and industrial technology,” adding, “We are focusing on implementing a system that allows buildings to autonomously adapt to environmental changes as well as save energy through AI-based heating and cooling control technology.”
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