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Abnormal node detection method for time-sharing heating energy consumption in multi-storey buildings based on drosophila algorithm

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  • Hui-Min Wang
  • Jing Wang

Abstract

In order to solve the problem of high energy consumption of time-sharing heating in multi-storey buildings caused by abnormal node, it is necessary to study the detection method of abnormal node of heating energy consumption. Based on fruit flies algorithm of multi-storey building time-sharing heating energy consumption of the abnormal node detection method, using synchronous sequential PLD multi-storey building heating system of heating time-sharing data, put optimisation algorithm is introduced into EEMD algorithm, noise by flies optimisation calculation the corresponding threshold, remove the noise, the IMF component complete data denoising processing. Based on the recursive dynamic principal component analysis method, the detection model of abnormal heating energy consumption nodes is constructed to realise the detection of abnormal heating energy consumption nodes in multi-storey buildings. Experimental results show that the proposed method has good denoising effect, low false alarm rate and high detection rate.

Suggested Citation

  • Hui-Min Wang & Jing Wang, 2021. "Abnormal node detection method for time-sharing heating energy consumption in multi-storey buildings based on drosophila algorithm," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 43(1), pages 1-23.
    • Handle: RePEc:ids:ijgeni:v:43:y:2021:i:1:p:1-23
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