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), 2024. Published by Science Publishing Group |
Peak Load, Estimation, Forecasting, MATLAB, Power Factor, Waterfall Methodology, Logarithmic Model
| [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. |
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
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
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
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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}
}
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 -
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