Combined empirical and machine learning modeling method for estimation of daily global solar radiation for general meteorological observation stations
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference77 articles.
1. Prediction of solar energy guided by pearson correlation using machine learning;Jebli;Energy,2021
2. Residential load forecasting based on LSTM fusing self-attention mechanism with pooling;Zang;Energy,2021
3. Statistical machine learning model for capacitor planning considering uncertainties in photovoltaic power;Fu;Prot. Control Mod. Power Syst.,2022
4. Prediction and performance assessment of global solar radiation in Indian cities: a comparison of satellite and surface measured data;Manju;J. Clean. Prod.,2019
5. Evaluation and development of empirical models for estimating daily solar radiation;Jahani;Renew. Sustain. Energy Rev.,2017
Cited by 15 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
1. New models of solar photovoltaic power generation efficiency based on spectrally responsive bands;Applied Energy;2024-12
2. The New Solar Radiation Estimation Models Using Different Weight Functions in the Moving Least Squares Approach;Proceedings of the National Academy of Sciences, India Section A: Physical Sciences;2024-06-20
3. An interpretable framework for modeling global solar radiation using tree-based ensemble machine learning and Shapley additive explanations methods;Applied Energy;2024-06
4. Are Regions Conducive to Photovoltaic Power Generation Demonstrating Significant Potential for Harnessing Solar Energy via Photovoltaic Systems?;Sustainability;2024-04-15
5. Read-First LSTM model: A new variant of long short term memory neural network for predicting solar radiation data;Energy Conversion and Management;2024-04
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