<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">EPTSM</journal-id><journal-title-group><journal-title>Electric Power Technology and Safety Management</journal-title></journal-title-group><issn>2997-3473</issn><eissn>2997-3503</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/EPTSM.2025090006</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>基于实时IV 测试的光伏电站发电量预测方法</title><url>https://artdesignp.com/journal/EPTSM/2/9/10.61369/EPTSM.2025090006</url><author>郭杰</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>2</volume><issue>9</issue><history><date date-type="pub"><published-time>2025-09-20</published-time></date></history><abstract>基于实时IV测试的光伏电站发电量预测方法通过分析组件的电流-电压特性曲线（IV曲线），结合环境参数（辐照度、温度）进行发电量预测。其核心优势在于能精准评估组件在不同光照和温度条件下的最大输出功率，从而提升预测精度。实时IV测试的光伏电站发电量预测方法与传统方法相比，在精度和适应性上具有显著优势。传统方法受环境因素影响较大，而实时IV测试通过动态数据采集和算法优化，能更精准地预测发电量波动。</abstract><keywords>实时IV测试,光伏电站,发电量预测方法</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 张华,基于实时IV 测试的光伏电站发电量预测方法探讨[J].太阳能.2011,(1)39-40[2] 李浩宇,关于实时IV 测试的光伏电站发电量预测方法分析[J].气候变化研究进展.2011,(2)26-27.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
