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Neural Networks Initial Weights Optimisation

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2 Author(s)
Al-Shareef, A.J. ; Electr. Eng. Dept., King Abdulaziz Univ., Jeddah, Saudi Arabia ; Abbod, M.F.

Artificial Neural Networks (ANN) have lately received much attention, and a great number of papers have reported successful experiments and practical tests. This paper presents the development of a simple ANN topology for load forecasting model with much improved accuracy for the Regional Power Control Centre of Saudi Electricity Company. The proposed system is based on optimising the initial random weights of the ANN using Particle Swarm Optimisation (PSO). Results have shown higher modelling accuracy compared to standard ANN, weight optimised ANN, and ANN committee machine models. The networks were trained with weather-related, time based and special events indexes for electric load data from the calendar years 2005 to 2007.

Published in:

Computer Modelling and Simulation (UKSim), 2010 12th International Conference on

Date of Conference:

24-26 March 2010