隨著能源危機的意識抬頭，智慧節能成為目前各界發展的新趨勢。在智慧電網領域中，家庭能源管理系統提供居民能源資訊，以了解家庭實際能源消耗的電器、時段和費用。然而，對於現今家庭中各式各樣的電器裝置及各家庭不同的用電習慣，一般的家庭能源管理系統有著缺乏動態辨識家中各種電器及單向資訊顯示的問題所在。本研究提出一套智慧型家庭能源管理系統平台，該平台藉由中介管理層解決電器整合問題並以服務導向架構來提供服務應用程式界面。家庭能源管理系統的部署通常需要安裝許多感應設備與特製的電器。為了改善系統的適應性與穩定性，本研究根據物聯網架構重新設計系統平台並規劃一套在智慧插座中的多電器辨識流程。另外，人類家居活動多半與電器的使用有關，透過多電器辨識去推論活動行為，能更確切地提供居民用電資訊與能源方案。本研究在家庭能源管理系統設計了家居活動推論的功能，以達到提醒使用者家中不再被使用的電器。依照系統實作與實驗數據分析，本研究設計的家庭能源管理系統不僅具有高度可行性，也能補強其他管理系統的不足。

As the raising of awareness about energy crisis, the development of intelligent energy saving system becomes a new trend in all areas. In the smart grid domain, home energy management systems (HEMS) can provide energy information for residents to realize actual consuming periods, utilities, and appliances. However, because of various appliances and different spending habits of residents, general HEMS suffer from the lack of dynamic appliance recognition and bidirectional commanding. This study designs an intelligent HEMS which leverages an intermediate management layer to enhance appliance integration and reveal service API to application layer. The deployment of HEMS usually requires installation of sensing devices and specific appliances. For improving system adaptability and stability, according to the Internet of Things (IoT) architecture, this study reconstructs the platform and schemes a process of multi-appliance recognition with smart sockets. In addition, at home, human activities are probably relevant to appliance usage. Inferring activities through appliance recognition can enable the system to precisely supplies residents with electrical information and energy plans. This study provides a design of home activity inference in the system to achieve the capability of reminding residents of the appliances no longer used. In accordance with analysis of experiments, the designed system not only possesses high practicability, but improves deficiencies of other management systems.

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