[CITATION][C] Notice of Retraction: Short-term load forecasting based on chaos theory and RBF neural network
Z Yuan, S Liu, L Xue - 2011 Seventh International …, 2011 - ieeexplore.ieee.org
Z Yuan, S Liu, L Xue
2011 Seventh International Conference on Natural Computation, 2011•ieeexplore.ieee.orgPower system load is a nonlinear time series, for the complexity and nonlinear of power
systems loads, this paper combines the idea of chaos theory, make full use of data in the
reconstruction phase space power load based on the load of forecast, due to the
approximation capability of neural networks with superior predictive ability, the use of RBF
neural networkbased method and Matlab simulation, the simulation shows that such a
prediction algorithm to obtain good results.
systems loads, this paper combines the idea of chaos theory, make full use of data in the
reconstruction phase space power load based on the load of forecast, due to the
approximation capability of neural networks with superior predictive ability, the use of RBF
neural networkbased method and Matlab simulation, the simulation shows that such a
prediction algorithm to obtain good results.
Abstract
Power system load is a nonlinear time series, for the complexity and nonlinear of power systems loads, this paper combines the idea of chaos theory, make full use of data in the reconstruction phase space power load based on the load of forecast, due to the approximation capability of neural networks with superior predictive ability, the use of RBF neural networkbased method and Matlab simulation, the simulation shows that such a prediction algorithm to obtain good results.
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