Seasonal Peak Electricity Demand Characteristics: Japan Case Study

Yusri Syam Akil; Hajime Miyauchi

doi:doi:10.11648/j.ijepe.20130203.18

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Seasonal Peak Electricity Demand Characteristics: Japan Case Study

Yusri Syam Akil, Hajime Miyauchi

Published in International Journal of Energy and Power Engineering (Volume 2, Issue 3)

Received: 7 June 2013 Published: 30 July 2013

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Abstract

Because of the need to keep balancing between electricity supply and demand continuously, a demand analysis is necessary as it can provide essential information to manage operation of a power system. This study presents a seasonal peak demand characteristics investigation for commercial area in Japan by developing hourly demand regression models for each season. Meteorological parameters and existing holidays are considered as demand drivers. Many standard statistical tests are applied to the models. From results, typical forms of link between commercial demand and key drivers at peak hours (daytime and evening) in each season can be revealed through the models. Knowing more detail characteristic of a demand particularly during high load hours can help utilities to maintain expected optimal operation of power systems and service to consumers all the time.

Published in	International Journal of Energy and Power Engineering (Volume 2, Issue 3)
DOI	10.11648/j.ijepe.20130203.18
Page(s)	136-142
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Peak Demand, Characteristics, Season, Commercial Area, Regression Analysis

References

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[4]	K. Wangpattarapong, S. Maneewan, N. Ketjoy and W. Rakwichian, "The Impacts of Climatic and Economic Factors on Residential Electricity Consumption of Bangkok Metropolis," Energy and Buildings, Vol. 40, pp. 1419-1425, 2008.
[5]	M. A. Momani, "Factors Affecting Electricity Demand in Jordan," Energy and Power Engineering, Vol. 5, No. 1, pp. 50-58, 2013.
[6]	S. Mirasgedis, Y. Sarafidis, E. Georgopoulou, D. P. Lalas, M. Moschovits, F. Karagiannis and D. Papakonstantinou, "Models for Mid-Term Electricity Demand Forecasting Incorporating Weather Influences," Energy, Vol. 31, pp. 208-227, 2006.
[7]	D. H. W. Li, J. C. Lam, and S. L. Wong, "Daylighting and Its Effects on Peak Load Determination," Energy, Vol. 30, pp. 1817-1831, 2005.
[8]	M. A. Almeida, R. Schaeffer, and E. L. La Rovere, "The Potential for Electricity Conservation and Peak Load Reduction in the Residential Sector of Brazil," Energy, Vol. 26, pp. 413-429, 2001.
[9]	S. Dudhani, A. K. Sinha, and S. S. Inamdar, "Renewable Energy Sources for Peak Load Demand Management in India," Electrical Power and Energy Systems, Vol. 28, pp. 396-400, 2006.
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APA Style

Yusri Syam Akil, Hajime Miyauchi. (2013). Seasonal Peak Electricity Demand Characteristics: Japan Case Study. International Journal of Energy and Power Engineering, 2(3), 136-142. https://doi.org/10.11648/j.ijepe.20130203.18

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ACS Style

Yusri Syam Akil; Hajime Miyauchi. Seasonal Peak Electricity Demand Characteristics: Japan Case Study. Int. J. Energy Power Eng. 2013, 2(3), 136-142. doi: 10.11648/j.ijepe.20130203.18

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AMA Style

Yusri Syam Akil, Hajime Miyauchi. Seasonal Peak Electricity Demand Characteristics: Japan Case Study. Int J Energy Power Eng. 2013;2(3):136-142. doi: 10.11648/j.ijepe.20130203.18

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@article{10.11648/j.ijepe.20130203.18,
  author = {Yusri Syam Akil and Hajime Miyauchi},
  title = {Seasonal Peak Electricity Demand Characteristics: Japan Case Study},
  journal = {International Journal of Energy and Power Engineering},
  volume = {2},
  number = {3},
  pages = {136-142},
  doi = {10.11648/j.ijepe.20130203.18},
  url = {https://doi.org/10.11648/j.ijepe.20130203.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20130203.18},
  abstract = {Because of the need to keep balancing between electricity supply and demand continuously, a demand analysis is necessary as it can provide essential information to manage operation of a power system. This study presents a seasonal peak demand characteristics investigation for commercial area in Japan by developing hourly demand regression models for each season. Meteorological parameters and existing holidays are considered as demand drivers. Many standard statistical tests are applied to the models. From results, typical forms of link between commercial demand and key drivers at peak hours (daytime and evening) in each season can be revealed through the models. Knowing more detail characteristic of a demand particularly during high load hours can help utilities to maintain expected optimal operation of power systems and service to consumers all the time.},
 year = {2013}
}

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TY  - JOUR
T1  - Seasonal Peak Electricity Demand Characteristics: Japan Case Study
AU  - Yusri Syam Akil
AU  - Hajime Miyauchi
Y1  - 2013/07/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ijepe.20130203.18
DO  - 10.11648/j.ijepe.20130203.18
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 136
EP  - 142
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20130203.18
AB  - Because of the need to keep balancing between electricity supply and demand continuously, a demand analysis is necessary as it can provide essential information to manage operation of a power system. This study presents a seasonal peak demand characteristics investigation for commercial area in Japan by developing hourly demand regression models for each season. Meteorological parameters and existing holidays are considered as demand drivers. Many standard statistical tests are applied to the models. From results, typical forms of link between commercial demand and key drivers at peak hours (daytime and evening) in each season can be revealed through the models. Knowing more detail characteristic of a demand particularly during high load hours can help utilities to maintain expected optimal operation of power systems and service to consumers all the time.
VL  - 2
IS  - 3
ER  -

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Author Information

Yusri Syam Akil

Dept. of Frontier Technology for Energy and Devices, Kumamoto University, Kumamoto, Japan
Hajime Miyauchi

Dept. of Frontier Technology for Energy and Devices, Kumamoto University, Kumamoto, Japan

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APA Style

Yusri Syam Akil, Hajime Miyauchi. (2013). Seasonal Peak Electricity Demand Characteristics: Japan Case Study. International Journal of Energy and Power Engineering, 2(3), 136-142. https://doi.org/10.11648/j.ijepe.20130203.18

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ACS Style

Yusri Syam Akil; Hajime Miyauchi. Seasonal Peak Electricity Demand Characteristics: Japan Case Study. Int. J. Energy Power Eng. 2013, 2(3), 136-142. doi: 10.11648/j.ijepe.20130203.18

Copy | Download

AMA Style

Yusri Syam Akil, Hajime Miyauchi. Seasonal Peak Electricity Demand Characteristics: Japan Case Study. Int J Energy Power Eng. 2013;2(3):136-142. doi: 10.11648/j.ijepe.20130203.18

Copy | Download

@article{10.11648/j.ijepe.20130203.18,
  author = {Yusri Syam Akil and Hajime Miyauchi},
  title = {Seasonal Peak Electricity Demand Characteristics: Japan Case Study},
  journal = {International Journal of Energy and Power Engineering},
  volume = {2},
  number = {3},
  pages = {136-142},
  doi = {10.11648/j.ijepe.20130203.18},
  url = {https://doi.org/10.11648/j.ijepe.20130203.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20130203.18},
  abstract = {Because of the need to keep balancing between electricity supply and demand continuously, a demand analysis is necessary as it can provide essential information to manage operation of a power system. This study presents a seasonal peak demand characteristics investigation for commercial area in Japan by developing hourly demand regression models for each season. Meteorological parameters and existing holidays are considered as demand drivers. Many standard statistical tests are applied to the models. From results, typical forms of link between commercial demand and key drivers at peak hours (daytime and evening) in each season can be revealed through the models. Knowing more detail characteristic of a demand particularly during high load hours can help utilities to maintain expected optimal operation of power systems and service to consumers all the time.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Seasonal Peak Electricity Demand Characteristics: Japan Case Study
AU  - Yusri Syam Akil
AU  - Hajime Miyauchi
Y1  - 2013/07/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ijepe.20130203.18
DO  - 10.11648/j.ijepe.20130203.18
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 136
EP  - 142
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20130203.18
AB  - Because of the need to keep balancing between electricity supply and demand continuously, a demand analysis is necessary as it can provide essential information to manage operation of a power system. This study presents a seasonal peak demand characteristics investigation for commercial area in Japan by developing hourly demand regression models for each season. Meteorological parameters and existing holidays are considered as demand drivers. Many standard statistical tests are applied to the models. From results, typical forms of link between commercial demand and key drivers at peak hours (daytime and evening) in each season can be revealed through the models. Knowing more detail characteristic of a demand particularly during high load hours can help utilities to maintain expected optimal operation of power systems and service to consumers all the time.
VL  - 2
IS  - 3
ER  -

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