A Study of Algorithm Comparison Simulator for Energy Consumption Prediction in Indoor Space
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.
KeywordsIndoor space Energy consumption prediction Simulator
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).
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