A hybrid expert system assisting decision making for distribution system load forecasting.

Morsi, D.M.; Abbasy, N.H.; Abul Ella, M.S.

doi:10.1109/melcon.1994.380958

All Outputs (225)

A comprehensive review of the fuel cells technology and hydrogen economy. (2006)
Conference Proceeding
ALI, D.M. and SALMAN, S.K. 2006. A comprehensive review of the fuel cells technology and hydrogen economy. In Proceedings of 41st international Universities power engineering conference 2006 (UPEC 2006), 6-8 September 2006, Newcastle upon Tyne, UK, vol III. Piscataway: IEEE [online], pages 98-102. Available from: https://doi.org/10.1109/UPEC.2006.367723

The degrading of the air quality resulting from the emissions of the existing energy conversion devices, in addition to the recent instability of the oil prices forced the need to a more stable zero-emission distribution generation technology or comb... Read More about A comprehensive review of the fuel cells technology and hydrogen economy..

Investigation into modelling of a fuel cell stack system. (2006)
Conference Proceeding
ALI, D.M. and SALMAN, S.K. 2006. Investigation into modelling of a fuel cell stack system. In Proceedings of 41st international Universities power engineering conference 2006 (UPEC 2006), 6-8 September 2006, Newcastle upon Tyne, UK, vol III. Piscataway: IEEE [online], pages 137-141. Available from: https://doi.org/10.1109/UPEC.2006.367723

Noticing the rise in the electricity prices, worrying about the CO 2 emissions and global warming and not sure about living with nuclear power stations, makes everyone think from where energy will come in the coming years. What is needed is a zero-em... Read More about Investigation into modelling of a fuel cell stack system..

Training neural networks using Taguchi methods: overcoming interaction problems. (2005)
Conference Proceeding
VISWANATHAN, A., MACLEOD, C., MAXWELL, G. and KALIDINDI, S. 2005. Training neural networks using Taguchi methods: overcoming interaction problems. In Duch, W., Kacprzyk, J., Oja, E. and Zadrozy, S (eds.) Artificial neural networks: formal models and their applications, part 2; proceedings of the 15th International on artificial neural networks (ICAAN 2005), 11-15 September 2005, Warsaw, Poland. Lecture notes in computer science, 3697. Berlin: Springer, pages 103-108. Available from: https://dx.doi.org/10.1007/11550907_17

Taguchi Methods (and other orthogonal arrays) may be used to train small Artificial Neural Networks very quickly in a variety of tasks. These include, importantly, Control Systems. Previous experimental work has shown that they could be successfully... Read More about Training neural networks using Taguchi methods: overcoming interaction problems..

Evolutionary algorithms for real-time artificial neural network training. (2005)
Conference Proceeding
JAGADEESAN, A., MAXWELL, G. and MACLEOD, C. 2005. Evolutionary algorithms for real-time artificial neural network training. In Duch, W., Kacprzyk, J., Oja, E. and Zadrozy, S (eds.) Artificial neural networks: formal models and their applications, part 2; proceedings of the 15th International on artificial neural networks (ICAAN 2005), 11-15 September 2005, Warsaw, Poland. Lecture notes in computer science, 3697. Berlin: Springer, pages 73-78. Available from: https://dx.doi.org/10.1007/11550907_12

This paper reports on experiments investigating the use of Evolutionary Algorithms to train Artificial Neural Networks in real time. A simulated legged mobile robot was used as a test bed in the experiments. Since the algorithm is designed to be used... Read More about Evolutionary algorithms for real-time artificial neural network training..

A hybrid expert system assisting decision making for distribution system load forecasting. (1994)
Conference Proceeding
MORSI, D.M., ABBASY, N.H. and ABUL ELLA, M.S. 1994. A hybrid expert system assisting decision making for distribution system load forecasting. In Proceedings of the 1994 Mediterranean electrotechnical conference (MELECON '94), 12-14 April 1994, Antalya, Turkey. Piscataway: IEEE [online], pages 893-896. Available from: https://doi.org/10.1109/MELCON.1994.380958

This paper introduces a typically intelligent hybrid expert system (ES) for an annualized distribution system load forecasting. The proposed ES has the capability of predicting the annual distribution substation load growth, and patterns of subsequen... Read More about A hybrid expert system assisting decision making for distribution system load forecasting..