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
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• 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
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• M. Sanaye-Pasand, O. P. Malik:
  Laboratory investigation of a digital recurrent network for transmission line directional protection. 31-46
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• A. J. Wang, B. Ramsay:
  A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays. 47-57
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• 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
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• 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
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• James D. McCalley, Guozhong Zhou, Vincent Van Acker:
  Power system security boundary visualization using neural networks. 85-96
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• Campbell Booth, Jim R. McDonald:
  The use of artificial neural networks for condition monitoring of electrical power transformers. 97-109
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• Barbara Cannas, Gianni Celli, Michele Marchesi, Fabrizio Pilo:
  Neural networks for power system condition monitoring and protection. 111-123
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• Bahman Kermanshahi:
  Recurrent neural network for forecasting next 10 years loads of nine Japanese utilities. 125-133
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• Francesco Bini Verona, Massimo Ceraolo:
  Use of neural networks for customer tariff exploitation by means of short-term load forecasting. 135-149
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• Jesús Riquelme Santos, Antonio Gómez, José Luís Martínez Ramos:
  Topology-independent artificial neural network for overload screening. 151-160
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• Annalisa Maiorano, Michele Trovato:
  A neural network-based tool for preventive control of voltage stability in multi-area power systems. 161-176
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• 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
  Electronic Edition (link) BibTeX
• H. Salehfar, S. A. Benson:
  Electric utility coal quality analysis using artificial neural network techniques. 195-206
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• 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
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• Tarlochan S. Sidhu, Gurdeep Singh, Mohindar S. Sachdev:
  Arcing fault detection using artificial neural networks. 225-241
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• Laurence A. Snider, Yuen Yee Shan:
  The artificial neural-networks-based relay algorithm for the detection of stochastic high impedance faults. 243-254
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• Mohamed A. H. El-Sayed:
  Artificial neural network for reactive power optimization. 255-263
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• Dipti Srinivasan:
  Evolving artificial neural networks for short term load forecasting. 265-276
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• 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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