The Application of Deep Learning Techniques for Solar Power Forecasting-Reference-Cited by-同舟云学术

The Application of Deep Learning Techniques for Solar Power Forecasting

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Information and Communication Systems (ICICS)
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Author:

Al-Jaafreh Tamer Musha'l¹,Al-Odienat Abdullah²

Affiliation:

1. Mutah University,Kark,Jordan

2. Mutah University,Electrical Engineering Department,Kark,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9810981/9811103/09811182.pdf?arnumber=9811182

Reference38 articles.

1. Optimal length determination of the moving average filter for power system applications;al-odienat;Int J Innov Comput Inform Contr,2015

2. The Accuracy Evaluation of State Estimation in Smart Power Grids

3. A New Perspective on Principal Component Analysis using Inverse Covariance;gulrez;International Arab Journal of Information Technology (IAJIT),2015

4. The Improvement of Weighted Least Square State Estimation Accuracy Using Optimal PMU Placement

5. Prediction of Electricity Generation using Solar Radiation Forecasting Data

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