Solar Photovoltaic Forecasting Using ANN Network for Central and Southern Regions of Jordan-Reference-Cited by-同舟云学术

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Solar Photovoltaic Forecasting Using ANN Network for Central and Southern Regions of Jordan

Published:2023-05-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
language:
Short-container-title:

Author:

Al-Rawashdeh Rafi¹,Alsarayreh Mohammad²,Al-Odienat Abdallah³

Affiliation:

1. Mutah University,Faculty of Engineering,Mutah,Jordan

2. King Abdullah II School of Engineering, Princess Sumaya University for Technology,Department of Electrical Engineering,Amman,Jordan,11941

3. Amman Arab University,Department of Renewable Energy Engineering,Amman,Jordan,11953

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10185660/10185673/10185900.pdf?arnumber=10185900

Reference28 articles.

1. Forecasting power output for grid-connected photovoltaic power system without using solar radiation measurement

2. Solar Photovoltaic Forecasting of Power Output Using LSTM Networks

3. Energy Shortage Failure Prediction in Photovoltaic Standalone Installations by Using Machine Learning Techniques

4. 24-lhour-ahead forecasting of energy production in solar PV systems;cococcioni;2011 11th International Conference on IntelligentSystemsDesignandApplications,2011

5. Accurate photovoltaic power forecasting models using deep LSTM-RNN

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