مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,148
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

SHORT TERM WIND SPEED FORECASTING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: JIROFT SYNOPTIC WEATHER STATION)

Pages

  11-20

Abstract

 Wind speed is one of the major parameters required for an estimation of evapotranspiration and determination of crop water requirements. Hence, several models and methods have been developed for a PREDICTION of this needed climatic variable. In recent years, by development of soft computing tools, such intelligent systems as ARTIFICIAL NEURAL NETWORK (ANN) approach have been widely employed in agrometeorological studies. In this study, three types of four layers ANN models of different number of neurons were generated and utilized for a PREDICTION of WIND SPEED, using HOURLY DATA of Jiroft Agrometeorological Station, during a 6 month period, April to September, 2010. During these months winds are of higher speeds than those during the rest of the year. Statistical indices of RMSE, ME and EF (Efficiency Factor) were utilized for comparisons and as well for models'' evaluations. The results revealed that an ANN model with 20 neurons in each layer is of the most suitable performance in PREDICTION of WIND SPEED with the respective corresponding values of these indices as 1.1827, 0.6947 and 0.9246.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    BAKHTIARI, BAHRAM, GHAHREMAN, NOZAR, & RAHIMI, ISHAGH. (2013). SHORT TERM WIND SPEED FORECASTING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: JIROFT SYNOPTIC WEATHER STATION). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 44(1), 11-20. SID. https://sid.ir/paper/225850/en

    Vancouver: Copy

    BAKHTIARI BAHRAM, GHAHREMAN NOZAR, RAHIMI ISHAGH. SHORT TERM WIND SPEED FORECASTING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: JIROFT SYNOPTIC WEATHER STATION). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2013;44(1):11-20. Available from: https://sid.ir/paper/225850/en

    IEEE: Copy

    BAHRAM BAKHTIARI, NOZAR GHAHREMAN, and ISHAGH RAHIMI, “SHORT TERM WIND SPEED FORECASTING USING ARTIFICIAL NEURAL NETWORK (CASE STUDY: JIROFT SYNOPTIC WEATHER STATION),” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 44, no. 1, pp. 11–20, 2013, [Online]. Available: https://sid.ir/paper/225850/en

    Related Journal Papers

    Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops





    Move to top