Energy usage pattern analysis and AECP(adaptive energy consumption prediction) scheme for efficient office-building energy management

CHOONG-HO, CHO and SEOK-HO, YOON and SEUNG-YEON, KIM (2017) Energy usage pattern analysis and AECP(adaptive energy consumption prediction) scheme for efficient office-building energy management. In: Fifth International Conference on Advances in Computing, Electronics and Communication - ACEC 2017, 27-28 May, 2017, Rome, Italy.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: blueding energy management, energy forecasting, energy consumption, energy management, AECP
Depositing User: Mr. John Steve
Date Deposited: 15 Mar 2019 11:07
Last Modified: 15 Mar 2019 11:07
URI: http://publications.theired.org/id/eprint/485

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