Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning-Reference-Cited by-同舟云学术

Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning

Published:2024-04 Issue: Volume:224 Page:120138
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Han Tian,Li Ruimeng,Wang Xiao^ORCID,Wang Ying,Chen Kang,Peng Huaiwu,Gao Zhenxin,Wang Nannan,Peng Qinke

Funder

Scientific Research Plan Projects of Shaanxi Education Department

Shaanxi Province Key Research and Development Projects

Publisher

Elsevier BV

Reference67 articles.

1. Fossil fuels, foreign direct investment, and economic growth have triggered CO2 emissions in emerging Asian economies: some empirical evidence;Hanif;Energy,2019

2. US West Coast droughts and heat waves exacerbate pollution inequality and can evade emission control policies;Zeighami;Nat. Commun.,2023

3. Effects of Injection timing and antioxidant on NOx reduction of CI engine fueled with algae biodiesel blend using machine learning techniques;Venkatesan;Sustainability,2022

4. Solar energy for future world:-A review;Kannan;Renewable and sustainable energy reviews,2016

5. Solar photovoltaic tree: a review of designs, performance, applications, and challenges;Gangwar;Energy Sources, Part A Recovery, Util. Environ. Eff.,2021

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