A Wind Speed Forecasting Model Based on Artificial Neural Network and Meteorological Data

被引：0

作者：

Finamore, Antonella R. ^{[1
]}

Calderaro, Vito ^{[1
]}

Galdi, Vincenzo ^{[1
]}

Piccolo, Antonio ^{[1
]}

Conio, Gaspare ^{[2
]}

机构：

[1] Univ Salerno, DIIn, Fisciano, SA, Italy

[2] IVPC SERVICE SRL, Avellino, Italy

来源：

2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC) | 2016年

关键词：

data mining; neural networks; renewable energy; wind speed forecasting; meteorological information; persistence model;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents a method for the medium-long-term wind speed prediction based on spatiotemporal evolution of weather fronts and Multi-Layer Perceptron Neural Network (MLP NN) data mining model. The proposed wind speed prediction model is achieved by using historical and current meteorological data, such as pressure, temperature and wind intensity, describing the evolution of the weather fronts in a wide area around the point of interest. This model, trained and tested using real weather data, predicts the 24-h ahead wind speed. The forecasting effectiveness is evaluated comparing the wind forecasted with real data registered in the test site.

引用

页数：5

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