Description: with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts
- [mybp(Jo)] - I do a Matlab programming with the back-
- [dip2] - Edge detection method, 1 histogram equal
- [wavenoise] - using wavelet entropy method of load tim
- [GAoptimizeBP] - a genetic algorithm to optimize the weig
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- [pnnstock] - Using probabilistic neural network predi
- [chuanbosvm] - Ship power load forecasting matlab proce
- [nn] - Wavelet neural network short-term load f
- [RBF] - Power system can be used for short-term
- [tmulti] - Time series of one-dimensional box-count
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