The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Economic load dispatch for piecewise quadratic cost function using Hopfield neural network
Abstract
The authors present a new method to solve the problem of economic power dispatch with piecewise quadratic cost function using the Hopfield neural network. Traditionally one convex cost function for each generator is assumed. However, it is more realistic to represent the cost function as a piecewise quadratic function rather than one convex function. In this study, multiple intersecting cost functions are used for each unit. Through case studies, the possibility of the application of the Hopfield neural network to the economic load dispatch problem with general nonconvex cost functions was shown. The proposed approach is much simpler and the results are very close to those of the numerical method.>
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Power Generation, Operation, and Control
Wood, A. J., & Wollenberg, B. F. (1984) · Cited by 8,303
Hopfield, J. J. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.10.3088 · Cited by 6,918
“Neural” computation of decisions in optimization problems
Hopfield, J. J., & Tank, D. W. (1985) · Biological Cybernetics · doi:10.1007/bf00339943 · Cited by 6,031
Tank, D., & Hopfield, J. (1986) · IEEE Transactions on Circuits and Systems · doi:10.1109/tcs.1986.1085953 · Cited by 2,194
Electric load forecasting using an artificial neural network
Park, D.-C., El-Sharkawi, M. A., Marks, R. J., Atlas, L., & Damborg, M. J. (1991) · IEEE Transactions on Power Systems · doi:10.1109/59.76685 · Cited by 1,440
Short-term load forecasting using an artificial neural network
Lee, K. Y., Cha, Y. T., & Park, J. H. (1992) · IEEE Transactions on Power Systems · doi:10.1109/59.141695 · Cited by 602
Self-citationOn the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank
Wilson, G. V., & Pawley, G. S. (1988) · Biological Cybernetics · doi:10.1007/bf00363956 · Cited by 546
Unit commitment by simulated annealing
Zhuang, F., & Galiana, F. D. (1990) · IEEE Transactions on Power Systems · doi:10.1109/59.49122 · Cited by 383
Artificial Neural-Net Based Dynamic Security Assessment for Electric Power Systems
Sobajic, D. J., & Pao, Y.-H. (1989) · IEEE Power Engineering Review · doi:10.1109/mper.1989.4310480 · Cited by 359
Cited by
A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems
Selvakumar, A. I., & Thanushkodi, K. (2007) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2006.889132 · Cited by 829
Differential evolution for economic load dispatch problems
Noman, N., & Iba, H. (2008) · Electric Power Systems Research · doi:10.1016/j.epsr.2007.11.007 · Cited by 481
Adaptive particle swarm optimization approach for static and dynamic economic load dispatch
Panigrahi, B. K., Ravikumar Pandi, V., & Das, S. (2008) · Energy Conversion and Management · doi:10.1016/j.enconman.2007.12.023 · Cited by 364
Metadata
- Authors
- Park, J. H., Kim, Y. S., Eom, I. K., & Lee, K. Y.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1993
- Volume
- 8
- Issue
- 3
- Pages
- 1030-1038
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2104851354
- Cited by
- 408
- References
- 13
- FWCI
- 2.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- Park, J. H., Kim, Y. S., Eom, I. K., & Lee, K. Y. (1993). Economic load dispatch for piecewise quadratic cost function using Hopfield neural network. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.260897
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