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Design Of The Electric Market DSS

Posted on:2006-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:H S ZhangFull Text:PDF
GTID:2178360155450098Subject:Computer technology
Abstract/Summary:PDF Full Text Request
The Electric Market Decision Support System is a tool that include flexible query and statistical analysis facing to end users. The business personnel and the decision-making persons can use information arbitrarily and make the right and timely decision.Forecast System predict future information data base on the history data, and adjust the result of forecast synchronously by the effect of weather factor, holiday factor, etc. exact result of forecast will helps decision-making persons a lot to make their decisions.In the arithmetic base, besides some general predict algorithm as glide average, exponential smoothness, linearity regress, etc, it adds BP neural network algorithm for forecast. The BP neural network can simulate non-linear relation very well, it can do its forecast with many other related factors. In the use of BP neural network algorithm for predicting, BP neural network algorithm has many limitations, like convergence slowly; easy relapse into the part least, etc, so it integrate some other algorithms as GAs, Simulated Annealing , to optimize the BP neural network algorithm.
Keywords/Search Tags:Electric market, Decision Support System, Forecast, BP Neural Network
PDF Full Text Request
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