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
- M. Sanaye-Pasand, O. 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 Riquelme Santos, Antonio Gómez, 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 A. 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 M. 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
Copyright © Tue Dec 8 20:26:36 2009
by Michael Ley (ley@uni-trier.de)