One-day-ahead hourly load forecasting of smart building using a hybrid approach

Chao Ming Huang, Hong Tzer Yang, Yann Chang Huang, Kun Yuan Huang

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

2 Citations (Scopus)

Abstract

This paper proposes a hybrid approach to solve the one-day-ahead hourly load forecasting of smart building. The electricity consumption of a smart building is inherently nonlinear and dynamic and heavily dependent on the habitual nature of power demand, activities of daily living and on holidays or weekends, so it is often difficult to construct an adequate forecasting model for this type of load. To address this problem, this paper proposes a hybrid approach combining self-organizing map (SOM), learning vector quantization (LVQ), and fuzzy inference method to offer more adequate forecasting model for smart building. The proposed model comprises classification stage, forecasting stage, and correction stage. The forecasting results show that the proposed approach provides a robust and appropriate forecasting model.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
EditorsCheng-Yi Chen, Cheng-Fu Yang, Jengnan Juang
PublisherSpringer Verlag
Pages453-460
Number of pages8
ISBN (Electronic)9783319045726
DOIs
Publication statusPublished - 2014 Jan 1
Event2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 - Kaohsiung, Taiwan
Duration: 2013 Dec 122013 Dec 14

Publication series

NameLecture Notes in Electrical Engineering
Volume293
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
CountryTaiwan
CityKaohsiung
Period13-12-1213-12-14

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Huang, C. M., Yang, H. T., Huang, Y. C., & Huang, K. Y. (2014). One-day-ahead hourly load forecasting of smart building using a hybrid approach. In C-Y. Chen, C-F. Yang, & J. Juang (Eds.), Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 (pp. 453-460). (Lecture Notes in Electrical Engineering; Vol. 293). Springer Verlag. https://doi.org/10.1007/978-3-319-04573-3_56