Short term traffic condition variables forecasting using Artificial Neural Networks

Set against this background, the Department o f Transport commissioned the Transportation Research Group at the University of Southampton, together with Smith

As we have observed that many of the scientists have used ANN and various ANN models for forecasting Rainfall, Temperature, Wind and Flood etc., El-Shafie et al.,

1. The 7 days of a week have rather different patterns. Therefore, using Sundays' load data to train the network which is to be used to forecast Mondays' loads would yield

The aim of this research work is Short-Term Load Forecasting of Chhattisgarh Grid by using the data obtained from State Load Dispatch Centre (SLDC) of Chhattisgarh State Power

Historical load data were obtained from SLDC (State Load Dispatch Centre) Gotri Baroda, Gujarat and weather data were obtained from online weather site for the same

Open access under CC BY-NC-ND license... Load forecasting depends on operating time horizon of load occurrence. Accordingly, load forecasting is classified in three categories such

Abstract: The effectiveness of neural network based models in forecasting daily precipitation, based on ground level measurements obtained from a cluster of

The application of a feed forward neural network with back propagation learning algorithm to the yield data and weather variables data practically to forecasting