Abstract: A power monitoring device for identifying the state of an electric appliance based on user feedbacks and a power monitoring method thereof are provided. The power monitoring device includes a measurement module, a variation detection and search module, and an electric appliance signature database established based on user feedbacks. When the measurement module detects a variation of a power consumption feature, the variation detection and search module searches the electric appliance signature database according to the variation to obtain electric appliances similar to the variation and the states thereof. A user contributes data to the electric appliance signature database by confirming the search result, or selecting the correct electric appliance and the state thereof. When the user confirms the search result, the power monitoring device establishes an association between the electric appliance and its electric appliance signatures and updates the electric appliance signature database.

Abstract: A method and system for detecting an appliance based on users' feedback information, particularly a nonintrusive load monitoring method and system based on a user's feedback information and a joint strategic decision search algorithm are disclosed. By means of obtaining the users' feedback information on an appliance inputted by users or a search result of the appliances being confirmed by the users to generate a mapping between the model of the appliances and at least one load signature of each model of appliances; the users' feedback information is recorded into a smart meter or a cloud computing system, and a mathematical analysis is further used to compute an occurrence of any one signature of the appliance and the identification rate of each signature; then the joint strategic decision search algorithm automatically identifies various models of appliances and analyzes the operating states of the electric appliances in homes or offices.

Abstract: A method and system for detecting an appliance based on users' feedback information, particularly a nonintrusive load monitoring method and system based on a user's feedback information and a joint strategic decision search algorithm are disclosed. By means of obtaining the users' feedback information on an appliance inputted by users or a search result of the appliances being confirmed by the users to generate a mapping between the model of the appliances and at least one load signature of each model of appliances; the users' feedback information is recorded into a smart meter or a cloud computing system, and a mathematical analysis is further used to compute an occurrence of any one signature of the appliance and the identification rate of each signature; then the joint strategic decision search algorithm automatically identifies various models of appliances and analyzes the operating states of the electric appliances in homes or offices.

Abstract: A power monitoring device for identifying the state of an electric appliance based on user feedbacks and a power monitoring method thereof are provided. The power monitoring device includes a measurement module, a variation detection and search module, and an electric appliance signature database established based on user feedbacks. When the measurement module detects a variation of a power consumption feature, the variation detection and search module searches the electric appliance signature database according to the variation to obtain electric appliances similar to the variation and the states thereof. A user contributes data to the electric appliance signature database by confirming the search result, or selecting the correct electric appliance and the state thereof. When the user confirms the search result, the power monitoring device establishes an association between the electric appliance and its electric appliance signatures and updates the electric appliance signature database.