Yu Chen Systems Technology (YCS Technology) has announced a strategic partnership with the Department of Industrial Education and Technology and the Energy Center at National Changhua University of Education (NCUE). This collaboration launches an AI-powered energy load forecasting project aimed at addressing Taiwan’s energy supply challenges. The initiative seeks to enhance energy management in Taiwan’s semiconductor industry and lay the foundation for smart cities and sustainable development.
 
AI and Machine Learning Solutions to Meet Taiwan's Energy Needs
As a global hub for advanced manufacturing, Taiwan's high-tech industries depend heavily on precise operational processes, making efficient energy management crucial. YCS Technology, leveraging its expertise in IT (Information Technology) and OT (Operational Technology) integration, is committed to applying smart energy solutions to help energy-intensive industries tackle energy management challenges and enhance their competitiveness.
Having long served as a critical systems integrator for Taiwan’s semiconductor sector, YCS Technology deeply understands the importance and urgency of energy management. Both YCS Technology and NCUE believe that solving Taiwan's energy challenges requires not only the development of new energy technologies but also the integration of AI and machine learning for predictive energy management and intelligent storage solutions.
 
Developing AI-Enhanced Energy Forecasting Capabilities
The partnership focuses on developing AI-driven technologies capable of accurately forecasting power loads. By collecting energy consumption data and applying deep learning analytics, the system will provide forecasts of electricity usage, equipment lifespan predictions, and microgrid dispatch recommendations. These insights will empower factory managers to optimize energy use and reduce waste, boosting operational efficiency.
As Taiwan's semiconductor industry continues to expand, the energy forecasting technology developed through this partnership will play a key role in reducing the sector’s reliance on power resources and strengthening energy management resilience.
 
NCUE's Microgrid: A Testbed for Energy Innovation
Huang, Wei-Tzer, Chair of NCUE's Department of Industrial Education and Technology (which will be renamed the Department of Electrical and Mechanical Engineering Technology in 2025), emphasized the significance of the project:
“Our Bao-Shan Campus microgrid (as shown in Figure 1) integrates distributed generation, energy storage, and load management in a low-carbon environment. It provides an ideal platform for developing and testing energy storage and smart grid technologies.  Figure 2 shows the effectiveness of energy storage charging and discharging scheduling in reducing peak loads. Figure 3 presents the results of applying dynamic control, prediction, and regression analysis to stabilize microgrid frequency and PV output power.  The stable and predictable energy consumption patterns make this a valuable real-world testing ground, particularly for the optimization of storage devices, smart grids, and energy management technologies.”
 

Figure 1
 

Figure 2
 

Figure 3
 
Huang highlighted how the microgrid mirrors real-world industrial settings:
“The energy consumption in our academic buildings parallels the production schedules of factories, allowing us to simulate actual factory energy usage. This enables us to conduct forward-looking research for smart factory systems. Our collaboration not only promotes the advancement of green energy technologies but also offers students hands-on internship opportunities, equipping them with the skills needed for future careers.”

YCS Technology's AI-Driven EMS: A Key to Energy Management Innovation
YCS Technology has also made significant progress in Energy Management Systems (EMS). The company applies machine learning-powered AI to address the intermittency challenges of renewable energy sources such as solar and wind. Its EMS platform, branded as S.M.A.R.T (Self-Monitoring, Analysis, and Reporting Technology), employs AI to predict battery aging trends, significantly reducing the risk of energy storage fires.
Additionally, the system integrates with smart meter technologies to provide energy load forecasting capabilities, helping enterprises meet energy-saving and carbon-reduction targets. The platform also supports real-time carbon emission monitoring, facilitating carbon audits and emissions management.

Pioneering Sustainable Energy Management through AI-Driven Innovation
Looking ahead, YCS Technology plans to expand the application of AI in energy management and drive the development of smart manufacturing. Taiwan’s strong technological talent pool and advanced AI ecosystem will enable YCS to leverage its IT and OT expertise to deliver intelligent solutions to the nation’s energy challenges and foster sustainable growth within the semiconductor industry.
This partnership with NCUE marks a major milestone in YCS Technology’s pursuit of advanced energy solutions. It underscores the importance of industry-academia collaboration in driving both technological innovation and practical applications. Together, YCS Technology and NCUE aim to deliver breakthrough advancements in energy management and carbon reduction, paving the way for a sustainable future.
 
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