PV-Power Forecasting using Machine Learning Techniques-Reference-Cited by-同舟云学术

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PV-Power Forecasting using Machine Learning Techniques

Published:2024-05-30 Issue: Volume:11 Page:279-284
ISSN:
Container-title:2024 IEEE International Conference on Electro Information Technology (eIT)
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Author:

Al Arafat Kazi Abdullah¹,Creer Kode²,Debnath Anjan³,Olowu Temitayo O.⁴,Parvez Imtiaz²

Affiliation:

1. Atish Dipankar University of Science and Technology,Dept. of Computer Sci and Eng,Dhaka,Bangladesh

2. Utah Valley University,Dept. of Computer Science,Orem,UT,84058

3. Dept. of Electrical Engineering and Computer Science,OR,97331

4. Idaho National Laboratory,Idaho Falls,ID,83415

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609838/10609857/10609848.pdf?arnumber=10609848

Reference17 articles.

1. Renewables 2023, IEA, Paris

2. U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks, With Minimum Sustainable Price Analysis: Q1 2023

3. Solar Futures Study

4. Future challenges and mitigation methods for high photovoltaic penetration: A survey;Olowu,2018

5. Solar Energy Forecasting Using Machine Learning and Deep Learning Techniques

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