• L.R.Aravind Babu

Load-forecasting has been tried out using most traditional forecasting models and artificial intelligence techniques and has become one of the major research fields. Artificial Neural Networks have lately received much attention, and a great number of papers have reported successful experiments and practical tests with them. This paper presents a new approach for short-term load forecasting on Artificial Neural Network (ANN). The short-term load forecasting has been done with the help of tensor model of Functional-Link Network (FLN). An attempt has been made for forecasting short-term load pattern of one hour ahead. This paper also helps to concretize the knowledge how Functional-Link Network is applied for forecasting load. The results of the Functional-Link Network show an improved forecast capability

Short-term Load Forecasting, Functional-Link Network (FLN), Artificial Neural Network (ANN).

"SHORT-TERM LOAD FORECASTING WITH SPECIFIC MODEL OF FLN USING ARTFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 5, page no.608-614, May-2016, Available :http://www.jetir.org/papers/JETIR1905R90.pdf

"SHORT-TERM LOAD FORECASTING WITH SPECIFIC MODEL OF FLN USING ARTFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 5, page no. pp608-614, May-2016, Available at : http://www.jetir.org/papers/JETIR1905R90.pdf