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- W2894030943 abstract "This paper present wind speed (WS) forecasting at 10 min ahead using nonlinear autoregressive neural network. For this 45000 measured time series data are utilized. Mean absolute percentage error and correlation are found to be 9.45% and 92% respectively, showing effectiveness and accuracy of the proposed nonlinear autoregressive neural network forecasting model of WS for power generation." @default.
- W2894030943 created "2018-10-05" @default.
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- W2894030943 date "2018-09-29" @default.
- W2894030943 modified "2023-09-23" @default.
- W2894030943 title "10-Min Ahead Forecasting of Wind Speed for Power Generation Using Nonlinear Autoregressive Neural Network" @default.
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- W2894030943 doi "https://doi.org/10.1007/978-981-13-1819-1_23" @default.
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