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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...
This paper describes a mechanism of ontology-based rule management for building energy saving service. For the purpose of providing ontology-based building energy saving service in buildings, rules are needed to control equipments in buildings. A Rule manager adds new rules and searches, changes and deletes existing rules. This paper describes an ontology-based rule manager to offer energy optimization...
This research focuses on building-information related energy consumption estimation modeling by analyzing domestic electricity energy and water consumption data. We identify the elements of apartment buildings which are related to electricity and water use and demonstrate energy consumption forecast based on the proposed model. To verify the patterns of electricity energy and water consumption in...
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