Proactive Energy Control with AI
OPTC developed AI applications for active energy management, a first among industry peers. The project is a 2-phased collaborative effort with Academia Sinica. Phase I involves the collection and processing of energy-related operational data. The processed data is applied toward establishing AI energy baseline (EBL) using RapidMiner. With a period of multi-faceted in-depth discussions, the team cleared away several issues, demonstrating patience and professionalism that perfected the system. OPTC delivered an impressive debut on its first try at AI. During the process, the plant also acquired the ability to develop AI applications with ownership of the source code and the know-how, which can be expanded toward high-level production control, operational optimization as well as warning for malfunctioning equipment. The plant will continue to utilize the technology to improve production efficiency and reduce operating costs.