本文應用多種智慧型負載辨識及分類策略，致力於整合成單一負載監測系統，並汲取多種策略架構，配合量測迴路設計和負載管理模組，研製一套適用於家居負載管理之智慧型監測平台。由於本研製系統除改良傳統之負載辨識方式建立模型外，亦將即時負載辨識能力融入設計考量，故其所具有之智慧型負載監測系統能於短時間內，立即偵測負載啟動與關閉，並即時做出分類。至為驗證本系統設計之實用可行性，本文已進行實際環境測試，並針對多種相異電器先後啟動之監測予以分析鑑別，測試結果應足佐證本研製系統確已初具用電負載即時監測之功能，對於融入智慧型電網之研發應用，確具高度參考應用價值。

This thesis applies intelligent load identification and classification strategy to integrate a load monitoring system. By combining the measurement circuit with load management module, the framework of intelligent household appliance monitoring platform is formed. In addition to improving the conventional load identification, the proposed system has taken the real-time load recognition into considerations, by which the developed monitoring system is capable of detecting the load startup and shutdown along with the classifying the load-of-interest into appropriate categories. In order to verify the practical feasibility of this proposed system, it was tested under several designated scenarios, in which several kinds of electrical appliances has been prudently identified with great success. These test results would be a sufficient support to confirm the functions of this prototype, which will be also of archival values for the smart grid development.

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