A hybrid neural network based solar PV power classification with time series data for bend, Oregon

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-03-17 DOI:10.1080/15435075.2024.2326074

Sasmita Choudhury, Pradipta Kishore Dash

引用次数: 0

Abstract

Photovoltaic (PV) power classification model has become a significant alternative to PV power point forecasting model in which classes of future PV powers are estimated. In this work, a novel PV po...

查看原文本刊更多论文

基于混合神经网络的太阳能光伏发电分类，时间序列数据适用于俄勒冈州弯道地区

光伏（PV）功率分级模型已成为光伏功率点预测模型的重要替代方案，在该模型中，对未来光伏功率进行分级估算。在这项工作中，一个新颖的光伏功率点分类模型已成为光伏功率点预测模型的重要替代方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.