Extraction of basic patterns of household energy consumption

Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    Solar power, wind power, and co-generation (combined heat and power) systems are possible candidate for household power generation. These systems have their advantages and disadvantages. To propose the optimal combination of the power generation systems, the extraction of basic patterns of energy consumption of the house is required. In this study, energy consumption patterns are modeled by mixtures of Gaussian distributions. Then, using the symmetrized Kullback-Leibler divergence as a distance measure of the distributions, the basic pattern of energy consumption is extracted by means of hierarchical clustering. By an experiment using the Annex 42 dataset, it is shown that the proposed method is able to extract typical energy consumption patterns.

    Original languageEnglish
    Title of host publicationProceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011
    Pages275-280
    Number of pages6
    Volume2
    DOIs
    Publication statusPublished - 2011
    Event10th International Conference on Machine Learning and Applications, ICMLA 2011 - Honolulu, HI
    Duration: 2011 Dec 182011 Dec 21

    Other

    Other10th International Conference on Machine Learning and Applications, ICMLA 2011
    CityHonolulu, HI
    Period11/12/1811/12/21

    Fingerprint

    Energy utilization
    Power generation
    Gaussian distribution
    Solar energy
    Wind power
    Experiments

    Keywords

    • energy consumption pattern
    • Gaussian mixture model
    • hierarchical clustering
    • KL-divergence

    ASJC Scopus subject areas

    • Computer Science Applications
    • Human-Computer Interaction

    Cite this

    Shen, H., Hino, H., Murata, N., & Wakao, S. (2011). Extraction of basic patterns of household energy consumption. In Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011 (Vol. 2, pp. 275-280). [6147687] https://doi.org/10.1109/ICMLA.2011.68

    Extraction of basic patterns of household energy consumption. / Shen, Haoyang; Hino, Hideitsu; Murata, Noboru; Wakao, Shinji.

    Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011. Vol. 2 2011. p. 275-280 6147687.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Shen, H, Hino, H, Murata, N & Wakao, S 2011, Extraction of basic patterns of household energy consumption. in Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011. vol. 2, 6147687, pp. 275-280, 10th International Conference on Machine Learning and Applications, ICMLA 2011, Honolulu, HI, 11/12/18. https://doi.org/10.1109/ICMLA.2011.68
    Shen H, Hino H, Murata N, Wakao S. Extraction of basic patterns of household energy consumption. In Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011. Vol. 2. 2011. p. 275-280. 6147687 https://doi.org/10.1109/ICMLA.2011.68
    Shen, Haoyang ; Hino, Hideitsu ; Murata, Noboru ; Wakao, Shinji. / Extraction of basic patterns of household energy consumption. Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011. Vol. 2 2011. pp. 275-280
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