7 Papers
Bing Chen is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Computer science & Wind speed. The author has an hindex of 4, co-authored 4 publications.
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Papers
Short-term wind speed prediction model based on GA-ANN improved by VMD
TL;DR: Variational mode decomposition (VMD) algorithm can use VMD to decompose the wind speed signal to obtain different scale fluctuations or trends, so as to fully exploit the potential information of wind speed, and obtain more accurate prediction results.
277
A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting
TL;DR: Combining the data of Spanish and Chinese wind farms, the experiment results show that the hybrid model proposed in this paper has greatly improved the accuracy in short-term wind speed forecasting.
237
A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic
TL;DR: The deterministic prediction of VMD-PRBF-ARMA-E model has high accuracy, and can reflect the characteristics of wind speed well and truly, which can provide a scientific basis for the power grid dispatching department, and help to ensure the stability of wind power system.
176
Evaluating the mechanical strength prediction performances of fly ash-based MPC mortar with artificial intelligence approaches
TL;DR: In this article , artificial intelligence (AI) approaches are still need to forecast the strength properties of MPC compositions blended with fly ash (FA) and estimate the governing input elements for appropriate mix design with suitable contents.
40
Research on Capacity Compensation Mechanism Based on Fixed Investment Cost of Power Generation Enterprises
TL;DR: In this paper , the authors proposed a capacity compensation method based on the fixed investment cost of power station, which can provide a simple and easy-to-operate compensation scheme for the fixed cost recovery of power generation enterprises.