食品零售業用之能源管理系統於電力交易市場之應用

因應國內電力自由化腳步，電力交易市場已成為最新潮流，因此擴展AIoT（Artificial Intelligence and Internet of Things）能管系統為分散式能源管理調度系統，開發整合節電控制與電網互動功能至能源管理系統為首要之務。此技術可自動卸載或降載非必要空調、照明設備，並應用機器學習演算法預測耗電模型，動態調整冷櫃、空調、照明參數以降低尖峰期間耗電，提升節能效率，加強能源管理系統附加價值及加速商業推廣，並且跟上國際最新發展趨勢。

關鍵字

需量反應；能源管理系統；電力交易

並列摘要

In response to the pace of domestic electricity liberalization, the electricity trading market has become the latest trend. Therefore, expanding the AIoT(Artificial Intelligence and Internet of Things) energy management system into a decentralized energy management and dispatching system, and developing and integrating power-saving control and grid interaction functions into the energy management system is a top priority. This technology can automatically unload or reduce non-essential air conditioners and lighting equipment, and apply machine learning algorithms to predict power consumption models, dynamically adjust refrigerators, air conditioners, and lighting parameters to reduce power consumption during peak period, improve energy saving efficiency. Strengthen the added value of the energy management system and accelerate commercial promotion, and keep up with the latest international development trends.