Instant Electrical Load Forecasting By Using Artificial Neural Networks


Abstract in English

In this research, We present a scientific advanced developed study and keeping up with new studies and technologies of very short-term electrical load forecasting and applying this study for electrical load forecasting of basic Syrian electrical power system by studying this prediction for next four hours according to the criterion applied in the Syrian Electricity Ministry with ten minutes intervals ,we call it "Instant electrical load forecasting".

References used

Amit, J, Satish, B, 2009 -Integrated Approach for Short [4] Term Load Forecasting using SVM and ANN. TENCON [4] IEEE Region 10 Conference, Report No: IIIT/TR, 6p
Badri, A, Ameli, Z, 2012 -Application of Artificial Neural [2] Networks and Fuzzy logic Methods for Short TermLoad [2] Fore casting, Procedia, 534p
Bhanuprakash, K, Supreetha Patel, T, Nikshepa, T, [9] Santosh, C, A Novel Approach for Short Term Load [9] Forecasting Using Load Profile Index Vectors by [9] Development of BPNN and GRNN Algorithms], March [9] 2016, -International Journal of Advanced Research in [9] [9 Electrical, Electronics and Instrumentation Engineering. [9 Vol. 5, Issue 3, 1833-1845

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