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A Study of Algorithm Comparison Simulator for Energy Consumption Prediction in Indoor Space

  • Do-Hyeun Kim
  • Nan Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 240)

Abstract

In last couple of years many research have been done to develop the technology for minimizing the energy consumption, security and maintaining a comfortable living environment in smart buildings. In this paper, we propose comparison simulator to analyze algorithms such as averaging method, moving averaging, Low-pass filter, Kalman filter and Gray model for predicting energy consumption in indoor space. Additionally, we evaluate energy prediction algorithms in order to facilitate the testing. Our propose comparison simulator support to verify the performance of the prediction algorithms and effective estimation of energy usage in indoor environment.

Keywords

Indoor space Energy consumption prediction Simulator 

Notes

Acknowledgments

This work was supported by the Industrial Strategic Technology Development Program funded by the Ministry of Knowledge Economy (MKE, Korea). [10038653, Development of Semantic based Open USN Service Platform]. (No. 2011-0015009). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-0015009).

References

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    Crossley F (2007) Advanced metering for energy supply in Australia. Energy Future Australia Pty Ltd, Australia JulyGoogle Scholar
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    Gu T, Pung HK, Zhang DQ (2005) Service-oriented middleware for building context-aware services. J Netw Comput Appl 28:1–18Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht(Outside the USA) 2013

Authors and Affiliations

  1. 1.Department of Computer EngineeringJeju National UniversityJejuKorea

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