Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria

Idorenyin Markson; Obinwa Christian Amaefule; Umoren Ifiok Anthony

doi:doi:10.11648/j.ajsea.20160506.11

| Peer-Reviewed

Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria

Idorenyin Markson, Obinwa Christian Amaefule, Umoren Ifiok Anthony

Published in American Journal of Software Engineering and Applications (Volume 5, Issue 6)

Received: 6 August 2014 Accepted: 28 October 2014 Published: 14 January 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Peak load demand is used in energy demand management to describe a period in which electrical power is expected to be provided for a sustained period at a significantly higher than average supply level. In power system development planning, effort is made to accurately estimate the immediate peak load demand as well as forecast the future peak load demands for more years ahead. This is usually meant to prevent overloading in power systems, which when they occur often cause more harm and would require more resources to fix. In this paper, a MATLAB-based software is developed for peak load estimation and forecasting. A case study of faculty of Engineering in Imo State University (IMSU) Owerri is selected for the data collection and testing of the software. The software has a user-friendly peak load estimation module for collecting and estimating the peak load based on the power rating of electrical appliances in the faculty. Then a versatile load forecasting module is also designed to forecast the future peak load demand based on the present peak load. In all, for any selected forecast period, the software generates the existing peak load estimation and forecasted peak load values in tables and graphs.

Published in	American Journal of Software Engineering and Applications (Volume 5, Issue 6)
DOI	10.11648/j.ajsea.20160506.11
Page(s)	40-45
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), 2017. Published by Science Publishing Group

Keywords

Peak Load, Estimation, Forecasting, MATLAB, Power Factor, Waterfall Methodology, Logarithmic Model

References

[1]	Saman, W., & Halawa, E. (2009). NATHERS–Peak Load Performance Module Research.
[2]	Amlabu C. A., Agber J. U., Onah C. O., Mohammed S. Y. (2013) Electric Load Forecasting: A Case Study of the Nigerian Power Sector. International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 10, April 2013.
[3]	Bower man B. L., O‟Connell R. T, and Koehler A. B. (2005) Forecasting, Time Series, and Regression: An Applied Approach,” 4th ed. California: Thomas Brooks/ Cole, 2005.
[4]	S. S. Vadhera, Power system Analysis and stability, Khanna Publishers Delhi, 2004.
[5]	Sheikh S. K., Unde M. G. (2012) Short-Term Load Forecasting Using Ann Technique. International Journal of Engineering Sciences & Emerging Technologies, Volume 1, Issue 2, pp: 97-107 ©IJESET.
[6]	S. S. Vadhera, Power system Analysis and stability, Khanna Publishers Delhi, 2004.
[7]	J. H. Chow, F. F. Wu, J. A. Momoh, Applied Mathematics for restructured electric power systems, [8] J. Campillo, F. Wallin, D. Torstensson, I. Vassileva. Energy Demand Model Design For Forecasting Electricity Consumption And Simulating Demand Response Scenarios In Sweden. International Conference On Applied Energy Icae 2012, Jul 5--8, 2012, Suzhou, China Paper Id: Icae 2012--A10599.
[8]	IEEE Transactions on Power Systems, Vol. 8, No. 1, February 1993.
[9]	G. Bharadwaj Aarti And K. Meeta, Demand Forecasting For Electricity: The Indian experience. 2001, pp. 175-192.
[10]	H. Alfares And M. Nazeeruddin, “Electric Load orecasting: Literature Survey and classification of methods,” International Journal Of Systems Science, vol. 33, no. 1, pp. 23-34, 2002.
[11]	Feinberg, E. A., & Genethliou, D. (2005). Load forecasting. In Applied mathematics for restructured electric power systems (pp. 269-285). Springer US.
[12]	Engle R. F., Mustafa C., and Rice J.. (1992) Modeling Peak Electricity Demand. Journal of Forecasting, 11:241–251, 1992.
[13]	Charytoniuk W., Chen M. S., and Van Olinda P. (1998) NonparametricRegression Based Short-Term Load Forecasting. IEEE Transactionson Power Systems, 13:725–730, 1998.
[14]	Chukwukelue, O. P., Daniel, E. C., Chuka, C. E., & Sunday, A. P. (2013) Time Series and Statistical Analysis of Plastic Yield: A Case Study of Finoplastika Industries Ltd, Nigeria. International Journal Of Multidisciplinary Sciences And Engineering, Vol. 4, No. 2, February 2013.

Cite This Article

Plain Text BibTeX RIS

APA Style

Idorenyin Markson, Obinwa Christian Amaefule, Umoren Ifiok Anthony. (2017). Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria. American Journal of Software Engineering and Applications, 5(6), 40-45. https://doi.org/10.11648/j.ajsea.20160506.11

Copy | Download

ACS Style

Idorenyin Markson; Obinwa Christian Amaefule; Umoren Ifiok Anthony. Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria. Am. J. Softw. Eng. Appl. 2017, 5(6), 40-45. doi: 10.11648/j.ajsea.20160506.11

Copy | Download

AMA Style

Idorenyin Markson, Obinwa Christian Amaefule, Umoren Ifiok Anthony. Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria. Am J Softw Eng Appl. 2017;5(6):40-45. doi: 10.11648/j.ajsea.20160506.11

Copy | Download

@article{10.11648/j.ajsea.20160506.11,
  author = {Idorenyin Markson and Obinwa Christian Amaefule and Umoren Ifiok Anthony},
  title = {Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria},
  journal = {American Journal of Software Engineering and Applications},
  volume = {5},
  number = {6},
  pages = {40-45},
  doi = {10.11648/j.ajsea.20160506.11},
  url = {https://doi.org/10.11648/j.ajsea.20160506.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20160506.11},
  abstract = {Peak load demand is used in energy demand management to describe a period in which electrical power is expected to be provided for a sustained period at a significantly higher than average supply level. In power system development planning, effort is made to accurately estimate the immediate peak load demand as well as forecast the future peak load demands for more years ahead. This is usually meant to prevent overloading in power systems, which when they occur often cause more harm and would require more resources to fix. In this paper, a MATLAB-based software is developed for peak load estimation and forecasting. A case study of faculty of Engineering in Imo State University (IMSU) Owerri is selected for the data collection and testing of the software. The software has a user-friendly peak load estimation module for collecting and estimating the peak load based on the power rating of electrical appliances in the faculty. Then a versatile load forecasting module is also designed to forecast the future peak load demand based on the present peak load. In all, for any selected forecast period, the software generates the existing peak load estimation and forecasted peak load values in tables and graphs.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria
AU  - Idorenyin Markson
AU  - Obinwa Christian Amaefule
AU  - Umoren Ifiok Anthony
Y1  - 2017/01/14
PY  - 2017
N1  - https://doi.org/10.11648/j.ajsea.20160506.11
DO  - 10.11648/j.ajsea.20160506.11
T2  - American Journal of Software Engineering and Applications
JF  - American Journal of Software Engineering and Applications
JO  - American Journal of Software Engineering and Applications
SP  - 40
EP  - 45
PB  - Science Publishing Group
SN  - 2327-249X
UR  - https://doi.org/10.11648/j.ajsea.20160506.11
AB  - Peak load demand is used in energy demand management to describe a period in which electrical power is expected to be provided for a sustained period at a significantly higher than average supply level. In power system development planning, effort is made to accurately estimate the immediate peak load demand as well as forecast the future peak load demands for more years ahead. This is usually meant to prevent overloading in power systems, which when they occur often cause more harm and would require more resources to fix. In this paper, a MATLAB-based software is developed for peak load estimation and forecasting. A case study of faculty of Engineering in Imo State University (IMSU) Owerri is selected for the data collection and testing of the software. The software has a user-friendly peak load estimation module for collecting and estimating the peak load based on the power rating of electrical appliances in the faculty. Then a versatile load forecasting module is also designed to forecast the future peak load demand based on the present peak load. In all, for any selected forecast period, the software generates the existing peak load estimation and forecasted peak load values in tables and graphs.
VL  - 5
IS  - 6
ER  -

Copy | Download

Author Information

Idorenyin Markson

Department of Mechanical Engineering, University of Uyo, Uyo, Nigeria
Obinwa Christian Amaefule

Department of Electrical Engineering, Imo State University (IMSU), Owerri, Nigeria
Umoren Ifiok Anthony

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Idorenyin Markson, Obinwa Christian Amaefule, Umoren Ifiok Anthony. (2017). Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria. American Journal of Software Engineering and Applications, 5(6), 40-45. https://doi.org/10.11648/j.ajsea.20160506.11

Copy | Download

ACS Style

Idorenyin Markson; Obinwa Christian Amaefule; Umoren Ifiok Anthony. Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria. Am. J. Softw. Eng. Appl. 2017, 5(6), 40-45. doi: 10.11648/j.ajsea.20160506.11

Copy | Download

AMA Style

Idorenyin Markson, Obinwa Christian Amaefule, Umoren Ifiok Anthony. Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria. Am J Softw Eng Appl. 2017;5(6):40-45. doi: 10.11648/j.ajsea.20160506.11

Copy | Download

@article{10.11648/j.ajsea.20160506.11,
  author = {Idorenyin Markson and Obinwa Christian Amaefule and Umoren Ifiok Anthony},
  title = {Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria},
  journal = {American Journal of Software Engineering and Applications},
  volume = {5},
  number = {6},
  pages = {40-45},
  doi = {10.11648/j.ajsea.20160506.11},
  url = {https://doi.org/10.11648/j.ajsea.20160506.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20160506.11},
  abstract = {Peak load demand is used in energy demand management to describe a period in which electrical power is expected to be provided for a sustained period at a significantly higher than average supply level. In power system development planning, effort is made to accurately estimate the immediate peak load demand as well as forecast the future peak load demands for more years ahead. This is usually meant to prevent overloading in power systems, which when they occur often cause more harm and would require more resources to fix. In this paper, a MATLAB-based software is developed for peak load estimation and forecasting. A case study of faculty of Engineering in Imo State University (IMSU) Owerri is selected for the data collection and testing of the software. The software has a user-friendly peak load estimation module for collecting and estimating the peak load based on the power rating of electrical appliances in the faculty. Then a versatile load forecasting module is also designed to forecast the future peak load demand based on the present peak load. In all, for any selected forecast period, the software generates the existing peak load estimation and forecasted peak load values in tables and graphs.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Development of Matlab-Based Software for Peak Load Estimation and Forecasting: A Case Study of Faculty of Engineering, Imo State University Owerri, Imo State, Nigeria
AU  - Idorenyin Markson
AU  - Obinwa Christian Amaefule
AU  - Umoren Ifiok Anthony
Y1  - 2017/01/14
PY  - 2017
N1  - https://doi.org/10.11648/j.ajsea.20160506.11
DO  - 10.11648/j.ajsea.20160506.11
T2  - American Journal of Software Engineering and Applications
JF  - American Journal of Software Engineering and Applications
JO  - American Journal of Software Engineering and Applications
SP  - 40
EP  - 45
PB  - Science Publishing Group
SN  - 2327-249X
UR  - https://doi.org/10.11648/j.ajsea.20160506.11
AB  - Peak load demand is used in energy demand management to describe a period in which electrical power is expected to be provided for a sustained period at a significantly higher than average supply level. In power system development planning, effort is made to accurately estimate the immediate peak load demand as well as forecast the future peak load demands for more years ahead. This is usually meant to prevent overloading in power systems, which when they occur often cause more harm and would require more resources to fix. In this paper, a MATLAB-based software is developed for peak load estimation and forecasting. A case study of faculty of Engineering in Imo State University (IMSU) Owerri is selected for the data collection and testing of the software. The software has a user-friendly peak load estimation module for collecting and estimating the peak load based on the power rating of electrical appliances in the faculty. Then a versatile load forecasting module is also designed to forecast the future peak load demand based on the present peak load. In all, for any selected forecast period, the software generates the existing peak load estimation and forecasted peak load values in tables and graphs.
VL  - 5
IS  - 6
ER  -

Copy | Download