Hopfield neural networks for optimal scheduling of fixed head hydrothermal power systems

Author:

Basu M.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference6 articles.

1. Efficient methods for optimal scheduling of fixed head hydrothermal power systems;Zaghlool;IEEE Transactions on Power Systems,1988

2. O. Nilsson, D. Sjelvgren, ‘Mixed-integer programming applied to short-term planning of a hydro-thermal system’, Proceedings of the 1995, IEEE PICA, Salt Lake City, UT, USA, May 1995 158–163.

3. L. Engles, R.E. Larson, J. Peschon, K.N. Stanton, ‘Dynamic programming applied to hydro and thermal generation scheduling’, in: IEEE tutorial course text, 76CH1107-2-PWR, IEEE, New York, 1976.

4. K.P. Wong Y.W. Wong, ‘Short-term hydrothermal scheduling, part 1: simulated annealing approach’, IEE Proceedings-C 141 (1994) 497–501.

5. Economic load dispatch for piecewise quadratic cost function using hopfield neural networks;Park;IEEE Transactions on Power Systems,1993

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