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Sustainability 2018, 10(2), 306; https://doi.org/10.3390/su10020306

Recurrence Interval Analysis on Electricity Consumption of an Office Building in China

1
School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
2
School of Management and Economics, Southeast University, Nanjing 210096, Jiangsu, China
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 11 January 2018 / Accepted: 12 January 2018 / Published: 24 January 2018
(This article belongs to the Special Issue Sustainable Electric Power Systems Research)
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Abstract

The energy management of office buildings has been a rising concern for owners, researchers, and energy suppliers. The volatility of power load in office buildings threatens energy consumption and risks device security. This paper investigates the load fluctuation patterns in an office building based on user data, using recurrence interval analysis for different thresholds. The recurrence intervals of volatility are fitted by stretched exponential distribution, from which the probability density function is derived. Then, the short-term and long-term memory effect on the fluctuations are learned by conditional probability density function and multifractal detrended fluctuation analysis, respectively. A hazard function is further established to analyze the risk estimation of load volatility and derive the value at risk (VaR). Thus, a functional relationship has been established between average recurrence interval and threshold. The methodology and analysis results addressed in this paper help to understand load fluctuation patterns and aid in the design of energy consumption strategies in office buildings. According to the results of our research, conclusions and management suggestions are provided at the end of this paper. View Full-Text
Keywords: office building; energy management; extreme events; recurrence interval; risk estimation office building; energy management; extreme events; recurrence interval; risk estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Hong, L.; Shu, W.; Chao, A.C. Recurrence Interval Analysis on Electricity Consumption of an Office Building in China. Sustainability 2018, 10, 306.

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