Research ArticleOpen AccessGoogle Scholar indexed
Long-Term Load Forecasting of Southern Governorates of Jordan Distribution Electric System
Electrical Engineering Department, Tafila Technical University, Tafila, Jordan
- 1 Electrical Engineering Department, Tafila Technical University, Tafila, Jordan
Energy and Power Engineering·Volume 07 (2015)·Pages 242–253·Published 5 May 2015·DOI10.4236/epe.2015.75023
Copy link · social · email
Abstract
Load forecasting is vitally important for electric industry in the deregulated economy. This paper aims to face the power crisis and to achieve energy security in Jordan. Our participation is localized in the southern parts of Jordan including, Ma’an, Karak and Aqaba. The available statistical data about the load of southern part of Jordan are supplied by electricity Distribution Company. Mathematical and statistical methods attempted to forecast future demand by determining trends of past results and use the trends to extrapolate the curve demand in the future.
KeywordsLong-Term Load ForecastingPeak LoadMax Demand and Least Squares
- Singh, A.K., Ibraheem, Khatoon, S. and Muazzam, Md. (2013) An Overview of Electricity Demand Forecasting Techniques. National Conference on Emerging Trends in Electrical, Instrumentation & Communication Engineering, 3, 38-34.
- Ghods, L. and Kalantar, M. (2011) Different Methods of Long-Term Electric Load Demand Forecasting; A Comprehensive Review. Iranian Journal of Electrical & Electronic Engineering, 7, 249-259.
- Feilat, E.A. and Bouzguenda, M. (2011) Medium-Term Load Forecasting Using Neural Network Approach. 2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Jeddah, 17-20 December 2011, 1-5.
- Daneshi, H., Shahidehpour, M. and Choobbari, A.L. (2008) Long-Term Load Forecasting in Electricity Market. IEEE International Conference on Electro/Information Technology, 2008. EIT 2008, Ames, 18-20 May 2008, 395-400.
- Nahari, A., Rostami, H. and Dashti, R. (2013) Electrical Load Forecasting in Power Distribution Network by Using Artificial Neural Network. International Journal of Electronics Communication and Computer Engineering, 4, 1737- 1743.
- Aslan, Y., Yavasca, S. and Yasar, C. (2011) Long Term Electric Peak Load Forecasting Of Kutahya Using Different Approaches. International Journal on Technical and Physical Problems of Engineering, 3, 87-91.
- Badran, S.M. and Abouelatta, O.B. (2011) Forecasting Electrical Load using ANN Combined with Multiple Regression Method. The Research Bulletin of Jordan ACM, 2, 52-58.
- Kavehnia, F., Keivani, H. and Mohammadi, A. (2007) Long Term Demand Forecast for an Electricity Distribution Network. Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities, 1-6.
- Amjady, N. and Daraeepour, A. (2010) Midterm Demand Prediction of Electrical Power Systems Using a New Hybrid Forecast Technique. IEEE Transactions on Power Systems, 26.
- Wang, J.J., Niu, D.X. and Li, L. (2010) Middle-Long Term Load Forecasting Based on Dynamic Architecture for Artificial Neural Network. Journal of Information & Computational Science, 7, 1711-1717.
- Aslan, Y., Yavasca, S. and Yasar, C. (2011) Long Term Electric Peak Load Forecasting Of Kutahya Using Different Approaches. International Journal on Technical and Physical Problems of Engineering, 7, 87-91.
- Saraereh, O.A., Alsafasfeh, Q., Al Tarabsheh, A., Arfoa, A. and Etier, I. (2014) Least Squares Fitting Based Fault Classification in Distribution Systems. Journal of Energy and Power Engineering, 8, 560-567.