S. H. Oudjana, A. Hellal, "New Particle Swarm Neural Networks Model Based Long Term Electrical Load Forecasting in Slovakia," WSEAS Transactions on Business and Economics, vol. 15, pp. 13-17, 2018, DOI:
S. H. Oudjana, A. Hellal. New Particle Swarm Neural Networks Model Based Long Term Electrical Load Forecasting in Slovakia.
WSEAS Transactions on Business and Economics. 2018;15:13-17.
WSEAS Transactions on Business and Economics
Print ISSN: 1109-9526, E-ISSN: 2224-2899
Volume 15, 2018
New Particle Swarm Neural Networks Model Based Long Term Electrical Load Forecasting in Slovakia
Authors: ,
Abstract: Long-term load forecasting accuracy is very important for electrical power systems. This paper explores the application of new model using neural networks (NN) and Particle Swarm Optimization (PSO) to study the design of load forecasting systems for many years ahead using historical loads databases of Slovakia power systems. In this study, instead of the method of back-propagation of the gradient, the optimization technique by swarms of particles is well tested for training neural network that optimizes the forecast error. Simulations were run and the results are discussed showing that New Hybrid Technique (PSO-NN) is capable to decrease the load forecasting error.
Pages: 13-17 WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 15, 2018, Art. #3 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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