Intelligent model for solar energy forecasting and its implementation for solar photovoltaic applications-Reference-Cited by-同舟云学术

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Intelligent model for solar energy forecasting and its implementation for solar photovoltaic applications

Published:2018-11 Issue:6 Volume:10 Page:063702
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Perveen Gulnar¹,Rizwan M.²,Goel Nidhi³

Affiliation:

1. Department of Electronics and Communication Engineering, Delhi Technological University, Delhi 110042, India

2. Department of Electrical Engineering, Delhi Technological University, Delhi 110042, India

3. Department of Electronics and Communication Engineering, IGDTUW, Delhi 110006, India

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5027824

Reference24 articles.

1. The future role of photovoltaics: A learning curve versus portfolio perspective

2. Solar photovoltaics R&D at the tipping point: A 2005 technology overview

3. Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines

4. A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output

Cited by 21 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. A cross-sectional survey of deterministic PV power forecasting: Progress and limitations in current approaches;Renewable Energy;2024-05

2. Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation;Energies;2023-04-28

3. Fuzzy logic for renewable energy recommendation and regional consumption forecast using SARIMA and LSTM;Journal of Renewable and Sustainable Energy;2023-03-01

4. Renewable Energy Forecasting Using Deep Learning Models;STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health;2023

5. Variational mode decomposition combined fuzzy—Twin support vector machine model with deep learning for solar photovoltaic power forecasting;PLOS ONE;2022-09-16

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