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Neurocomputing, Volume 23
Volume 23, Number 1-3, December 1998
- Mackean M. Elkateb, Khalid Solaiman, Yusuf Al-Turki:
A comparative study of medium-weather-dependent load forecasting using enhanced artificial/fuzzy neural network and statistical techniques. 3-13 - Paul S. Georgilakis, Nikos D. Hatziargyriou, Nikolaos D. Doulamis, Anastasios D. Doulamis, Stefanos D. Kollias:
Prediction of iron losses of wound core distribution transformers based on artificial neural networks. 15-29 - Majid Sanaye-Pasand, Om P. Malik:
Laboratory investigation of a digital recurrent network for transmission line directional protection. 31-46 - A. J. Wang, B. Ramsay:
A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays. 47-57 - Q. Y. Xuan, Raj K. Aggarwal, Allan T. Johns, Rod W. Dunn, Alan Bennett:
A neural network based protection technique for combined 275 kV/400 kV double circuit transmission lines. 59-70 - Benjamin F. Hobbs, Udi Helman, Suradet Jitprapaikulsarn, Sreenivas Konda, Dominic Maratukulam:
Artificial neural networks for short-term energy forecasting: Accuracy and economic value. 71-84 - James D. McCalley, Guozhong Zhou, Vincent Van Acker:
Power system security boundary visualization using neural networks. 85-96 - Campbell Booth, Jim R. McDonald:
The use of artificial neural networks for condition monitoring of electrical power transformers. 97-109 - Barbara Cannas, Gianni Celli, Michele Marchesi, Fabrizio Pilo:
Neural networks for power system condition monitoring and protection. 111-123 - Bahman Kermanshahi:
Recurrent neural network for forecasting next 10 years loads of nine Japanese utilities. 125-133 - Francesco Bini Verona, Massimo Ceraolo:
Use of neural networks for customer tariff exploitation by means of short-term load forecasting. 135-149 - Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito, José Luís Martínez Ramos:
Topology-independent artificial neural network for overload screening. 151-160 - Annalisa Maiorano, Michele Trovato:
A neural network-based tool for preventive control of voltage stability in multi-area power systems. 161-176 - Antonio Muñoz San Roque, Miguel Angel Sanz-Bobi:
An incipient fault detection system based on the probabilistic radial basis function network: Application to the diagnosis of the condenser of a coal power plant. 177-194 - H. Salehfar, S. A. Benson:
Electric utility coal quality analysis using artificial neural network techniques. 195-206 - Patricia R. S. Jota, Syed Mofizul Islam, Tony Wu, Gerard Ledwich:
A class of hybrid intelligent system for fault diagnosis in electric power systems. 207-224 - Tarlochan S. Sidhu, Gurdeep Singh, Mohindar S. Sachdev:
Arcing fault detection using artificial neural networks. 225-241 - Laurence A. Snider, Yuen Yee Shan:
The artificial neural-networks-based relay algorithm for the detection of stochastic high impedance faults. 243-254 - Mohamed A. H. El-Sayed:
Artificial neural network for reactive power optimization. 255-263 - Dipti Srinivasan:
Evolving artificial neural networks for short term load forecasting. 265-276 - Rafael Parra Hernández, Jaime Álvarez-Gallegos, José A. Hernández Reyes:
Simple recurrent neural network: A neural network structure for control systems. 277-289
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