基于 PCC-GRA-PCA 气象要素降维法的光伏输出功率预测方法

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-01-13 DOI:10.1080/15435075.2024.2303357

Lingsheng Yang, Xiangyu Cui, Wei Li

引用次数: 0

摘要

光伏 (PV) 发电预测模型需要大量气象数据，其中可能包括无关信息和冗余信息。随着数据量的增加，数据...

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A method for predicting photovoltaic output power based on PCC-GRA-PCA meteorological elements dimensionality reduction method

Photovoltaic (PV) power generation forecasting models require a large amount of meteorological data, which may include irrelevant and redundant information. As the volume of data increases, the dat...

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来源期刊

International Journal of Green Energy 工程技术-能源与燃料

CiteScore

6.60

自引率

9.10%

发文量

112

审稿时长

3.7 months

期刊介绍： International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.