Hybrid deep neural model for hourly solar irradiance forecasting-Reference-Cited by-同舟云学术

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Hybrid deep neural model for hourly solar irradiance forecasting

Published:2021-06 Issue: Volume:171 Page:1041-1060
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Huang Xiaoqiao,Li Qiong,Tai Yonghang,Chen Zaiqing,Zhang Jun,Shi Junsheng,Gao Bixuan,Liu Wuming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference64 articles.

1. Prediction of short-term PV power output and uncertainty analysis;Liu;Appl. Energy,2018

2. Renewable Capacity Statistics 2020 International Renewable Energy Agency (IRENA), Abu Dhabi, 2020;Irena,2020

3. Forecasting of photovoltaic power generation and model optimization: a review;Das;Renew. Sustain. Energy Rev.,2018

4. A review and evaluation of the state-of-the-art in PV solar power forecasting: techniques and optimization;Ahmed;Renew. Sustain. Energy Rev.,2020

5. A review of studies on central receiver solar thermal power plants;Behar;Renew. Sustain. Energy Rev.,2013

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