Deep learning based long-term global solar irradiance and temperature forecasting using time series with multi-step multivariate output-Reference-Cited by-同舟云学术

Deep learning based long-term global solar irradiance and temperature forecasting using time series with multi-step multivariate output

Published:2023-04 Issue: Volume:206 Page:135-147
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Azizi Narjes^ORCID,Yaghoubirad Maryam,Farajollahi Meisam^ORCID,Ahmadi Abolfzl^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference63 articles.

1. Multi-temporal resolution aerosols impacted techno-economic assessment of concentrated solar power in arid regions: case study of solar power tower in Kuwait;Alfailakawi;Sustain. Energy Technol. Assessments,2022

2. Direct Solar Energy;Arvizu,2011

3. Global solar radiation forecasting using square root regularization-based ensemble;Dong;Math. Probl Eng.,2019

4. The cost of day-ahead solar forecasting errors in the United States;Wang;Sol. Energy,2022

5. Case study: renewable electricity generation systems on Geoje Island in South Korea;Park;J. Renew. Sustain. Energy,2016

Cited by 27 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. Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE;Energy;2024-10

2. Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network;Engineering Applications of Artificial Intelligence;2024-10

3. Hybrid machine learning and optimization method for solar irradiance forecasting;Engineering Optimization;2024-09-04

4. Accurate short-term GHI forecasting using a novel temporal convolutional network model;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-09

5. Solar irradiance prediction with variable time lengths and multi-parameters in full climate conditions based on photovoltaic greenhouse;Energy Conversion and Management;2024-09