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As the security assessment of power production is a complicated multi-attribute evaluation problem, this paper applied the gray target assessment model of gray system theory to the security assessment of power production according to the system engineering theory. And using optimization theory and Jaynepsilas maximum entropy principle a method of determining the linear combination weights based on...
The neural network has been applied to the area of power load forecast successfully, but it has such disadvantages of local optimization and slow convergence speed. A new kind of genetic neural network forecast model based on tabu search was proposed for overcoming those disadvantages. Utilizing the global optimizing ability of genetic algorithm and the memory function and ability of mountain climbing...
The keys of improving the precision of daily load forecasting lie in the fore processing and the forecasting model, so this paper puts forward a new method of vary structure neural network (shorten as "VSNN") for power load forecast which is based on united data mining technology. Firstly, to search the historical daily load which have the same meteorological category as the forecasting...
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