Time dependent prediction of monthly global solar radiation and sunshine duration using exponentially weighted moving average in southeastern of Turkey

Author:

Gumus Bilal1,Kilic Hibetullah2

Affiliation:

1. University of Dicle, Department of Electrical and Electronics Engineering, Diyarbakır, Turkey

2. University of Dicle, Diyarbakır Technical Science Vocational School, Diyarbakir, Turkey

Abstract

This paper proposes a new approach for prediction of global solar radiation and sunshine duration based on earlier years of data for the eastern region of Turkey which has a high potential of solar energy. The proposed method predicts the basic parameters using time series and an analysis method. This method is exponentially weighted moving average. This model estimates next years global solar radiation and sunshine duration and is evaluated by statistical parameters, mean absolute percentage error (MAPE) and coefficient of determination, to examine the success of the proposed technique. In our study, the result shows that this method is effective in predicting global solar radiation and sunshine duration as regards of MAPE and coefficient of determination. The calculated MAPE which are between 0-10 kWh/m2 per day were assumed excellent and coefficient of determination were found significant per every year.

Publisher

National Library of Serbia

Subject

Renewable Energy, Sustainability and the Environment

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3