Intelligent gas-sensing systems for bacterial clinical isolates in vitro classification
Neural, Parallel & Scientific Computations
Neuro-control of unmanned underwater vehicles
International Journal of Systems Science
Intelligent classification of bacterial clinical isolates in vitro, using an array of gas sensors
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Power load forecasting using extended normalised radial basis function networks
Journal of Computational Methods in Sciences and Engineering
A novel self-adaptive learning charged system search algorithm for unit commitment problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Neural Networks are currently finding practical applications, ranging from 'soft' regulatory control in consumer products to accurate modelling of non-linear systems. This paper presents the development of improved neural networks based on short-term electric load forecasting models for the Power System of the Greek Island of Crete. Several approaches including radial basis function networks, dynamic neural networks and fuzzy-neural-type networks have been proposed and discussed in this paper. Their performances are evaluated through a simulation study, using metered data provided by the Greek Public Power Corporation. The results indicate that the load forecasting models developed provide more accurate forecasts compared to the conventional backpropagation network forecasting models. Finally, the embedding of the new models capability in a modular-constructed forecasting system is presented.