A Comparative Analysis of Solar PV Forecast using SVM under CO2 Concentration

Q3 Engineering

WSEAS Transactions on Power Systems Pub Date : 2022-05-06 DOI:10.37394/232016.2022.17.10

B. Patnaik, S. Swain, U. K. Rout, Ritesh Dash

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引用次数: 2

Abstract

Installation of a solar PV plant requires an understanding of the performance of solar PV panels in various weather conditions by which solar output power has to be predicted well in advance. Solar PV technology is the most reliable and cost-effective technology compared to other renewable energy technologies. To minimize the cost of production and pollution, it is very essential to improve the techno-economic parameters of the technology and have a better understanding of the development of solar PV technology but the efficiency of solar PV technology depends on various environmental factors. Irradiation and temperature are the main inputs in solar PV technology. Again both the terms depend on greenhouse content and its concentration in the atmosphere. Due to the influence of many factors, the forecasting of the solar PV performance in terms of output is a difficult task. So various comparative analysis has been used for forecasting solar PV power. This paper has analysed support vector machines through the MATLAB simulation model for forecasting the performance parameters of the solar PV system. An experiment has been conducted at NRRI, Cuttack in collecting real-time data for analysis.

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支持向量机在CO2浓度下的太阳能光伏预测比较分析

太阳能光伏发电厂的安装需要了解太阳能光伏电池板在各种天气条件下的性能，必须提前预测太阳能输出功率。与其他可再生能源技术相比，太阳能光伏技术是最可靠、最具成本效益的技术。为了最大限度地降低生产成本和污染，提高技术经济参数和更好地了解太阳能光伏技术的发展是非常必要的，但太阳能光伏技术效率取决于各种环境因素。辐射和温度是太阳能光伏技术的主要输入。同样，这两个术语都取决于温室气体含量及其在大气中的浓度。由于多种因素的影响，太阳能光伏发电性能的产量预测是一项艰巨的任务。因此，各种比较分析方法被用于预测太阳能光伏发电量。本文通过MATLAB仿真模型分析了支持向量机对太阳能光伏系统性能参数的预测。在卡塔克NRRI进行了一项实验，收集实时数据进行分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

WSEAS Transactions on Power Systems Engineering-Industrial and Manufacturing Engineering

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： WSEAS Transactions on Power Systems publishes original research papers relating to electric power and energy. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with generation, transmission & distribution planning, alternative energy systems, power market, switching and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.