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- W2808458216 abstract "The forecast of short-term power load (SPL) is an indispensable part of the power system. To improve the accuracy of the SPL prediction, we propose an improved grey wolf optimizer optimized support vector regression (IGWO-SVR) model. Taking the historical data, meteorological factors and other factors as the input variables, we establish the IGWO-SVR model to forecast SPL for next hour. The empirical results reveal that the proposed method is feasible and effective for the forecast of SPL. In addition, compared with the performance of BP neural network, SVR, IGWO-SVR has better accuracy and robustness." @default.
- W2808458216 created "2018-06-21" @default.
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- W2808458216 date "2018-03-01" @default.
- W2808458216 modified "2023-09-27" @default.
- W2808458216 title "Short-term load forecasting based on support vector regression with improved grey wolf optimizer" @default.
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- W2808458216 doi "https://doi.org/10.1109/icaci.2018.8377565" @default.
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