Short Term Load Forcast - A Case study on Beleza: Eritrea | ||||
| Journal of Environmental Sciences. Mansoura University | ||||
| Article 1, Volume 48, Issue 2, June 2019, Page 55-66 PDF (632.66 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/joese.2019.158177 | ||||
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| Authors | ||||
| Sunil Kumar Jilledi1; Shalini J2; Ashok Kumar M3 | ||||
| 1Lecturer in the Department of Electrical and Electronics Engineering, Eritrea Institute of Technology, Mai-Nefhi, Asmara, Eritrea | ||||
| 2Assistant professor, Dairy Engineering, S.V.V.U. India | ||||
| 3Associate Professor in Department of Electrical and Electronics Engineering, Eritrea Institute of Technology, MaiNefhi, Asmara, Eritrea | ||||
| Abstract | ||||
| Electrical load plays a key role in countries' economic development. Generation of energy requires accurate estimation of the load that is in turn accomplished by accurate load forecasting. It plays a key role in balancing energy production and demand. Forecasting of electrical load gives efficient and effective operation of any power system. Many methods are implemented for Short Term Load Forecasting (STLF) considering the effects of temperature, humidity, etc. Load data of Beleza, Asmara, Eritrea, is taken from Eritrean Electric cooperation Asmara for a period of 31days. The load is predicted by using the exponential smoothing techniques including the seasonality effects and day effects on the loads, critical index values and total system loads. The load is forecasted based on the day. Simulation studies are performed in the MATLAB environment. | ||||
| Keywords | ||||
| Short term Load Forecasting (STLF); Exponential smoothing; Hot winters model; Matlab | ||||
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