ENERGY USAGE PATTERN ANALYSIS AND AECP(ADAPTIVE ENERGY CONSUMPTION PREDICTION) SCHEME FOR EFFICIENT OFFICE-BUILDING ENERGY MANAGEMENT
Published In: 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): : CHOONG-HO CHO , SEOK-HO YOON , SEUNG-YEON KIM
Abstract: The deployment of advanced metering infrastructures on the small-medium scale building facilitates power suppliers and consumers to better control the utility supply and usage chain. Data from these systems are generally used to analyze the utility usage, furthermore we can enable such as smart energy management and distribution of resources of the building. For the efficient demand-response management of building energy, we analyze the results of the energy usage pattern through clustering of the usage data of the office building. Accordingly, in this paper, we propose the RLS-based power usage prediction algorithm, the Adaptive Energy Consumption Prediction (AECP). In order to obtain the validity of our prediction model, we calculate the error rate between the measured and the actual data of the power usage. Based on this, we determine the demand for energy-efficiency with energy consumption forecast.
- Publication Date: 28-May-2017
- DOI: 10.15224/978-1-63248-121-4-03
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ALTERNATIVE RESOURCE ALLOCATION MODEL FOR DYNAMIC RESOURCE-SHARING WSN SYSTEMS
Published In: 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): GUNGOR YILDIRIM , YETKIN TATAR
Abstract: One of the major solutions to the interoperability problem of different wireless sensor networks (WSNs) which are in different locations is the use of WSN virtualization techniques. In these types of systems, there is generally a provider system to which the heterogeneous WSNs are registered. Through the provider system, clients can choose different resources existing in the different WSNs and establish their own virtual networks. In virtualization, the resource choice/allocation operation is one of the initial processes. This process is important to clients, the provider and efficient system maintenance. Current resource choice/allocation models used in IoT WSN providers generally take into account client parameters. However, other parameters are also available for optimum resource allocation, including available energy levels of the nodes in the sub-WSNs, data traffic in the sub-WSNs, processing rate of the physical nodes. In addition, the sub-WSNs registered to the provider can have
- Publication Date: 28-May-2017
- DOI: 10.15224/978-1-63248-121-4-04
- Views: 0
- Downloads: 0