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This paper presents the development of the building electric power prediction model with local weather forecast information. Annual electric power usage data of the testbed is analyzed to develop a building electricity prediction model. K-means clustering algorithm is selected as a data mining technique. Silhouette index is applied to validate clustering results. Cluster analysis of total high voltage...
The paper presents the analysis of the power saving effect and the customer satisfaction level for In-Home Display usage. Through the validation between the experimental group and the control group, we analyze the power consumption and consumer preferences. From the results obtained from the questionnaire used, we also confirm the customer satisfaction.
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