Energy Management Technologies for Smart Home Applications

  • Huo-Ching Sun
  • Yann-Chang Huang
  • Chao-Ming Huang
  • Chien-Chin Tung
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 293)

Abstract

This paper reviews previous and recent trends in energy management systems (EMS) and energy information communication technologies (EICT) for smart home applications. Relevant EMS and EICT publications on smart homes are reviewed. This paper first analyzes different energy management approaches for smart home applications, including fuzzy logic, neural networks, heuristic methods, and evolution-based approaches. Then, various EICT approaches are surveyed to evaluate the feasibility of smart home applications by discussing historical developments and introducing advanced EICT methods. Importantly, this paper contributes to efforts to further advanced energy management technologies for smart home applications.

Keywords

Energy management systems Energy information communication technologies Smart home applications 

Notes

Acknowledgments

Financial supports from the National Science Council, Taiwan, R.O.C. under the Grant No. NSC 102-3113-P-006-015 and NSC 101-2632-E-230-001-MY3 are acknowledged.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Huo-Ching Sun
    • 1
  • Yann-Chang Huang
    • 1
  • Chao-Ming Huang
    • 2
  • Chien-Chin Tung
    • 1
  1. 1.Department of Electrical EngineeringCheng Shiu UniversityKaohsiungTaiwan, Republic of China
  2. 2.Department of Electrical EngineeringKun Shan UniversityTainanTaiwan, Republic of China

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