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Among all load forecasting problems, long-term system load forecasting has its own characteristics.
Open image in new window Fig. 8 Results of the two forecasting problems.
An ELM algorithm typically serves to address complex and ill-defined forecasting problems.
The results showed that the proposed expert system with GA provided more accuracy in stock price forecasting problems.
This hardly means that prediction markets are of little use: The kind of forecasting problems that these markets are good at are fundamental to any business.
We also applied NPFS to solve three real-world sales forecasting problems for new tea, cosmetic, and soft drink products.
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The new algorithm is tested on a nine-dimensional inventory forecasting problem.
Several linear and non-linear techniques have been proposed to solve the stock market forecasting problem.
Several models have been presented to solve the financial time series forecasting problem.
However, in a medium term forecasting problem, we cannot foresee the excessive annual horizon.
Several techniques are suggested here for the solution of this forecasting problem.
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