Enhancing photovoltaic system performance using advanced gradient boosting methods-Reference-Cited by-同舟云学术

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Enhancing photovoltaic system performance using advanced gradient boosting methods

Published:2024-05-15 Issue: Volume:31 Page:1-6
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
language:
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Author:

Harrou Fouzi¹,Dorbane Abdelhakim²,Sun Ying¹

Affiliation:

1. King Abdullah University of Science and Technology (KAUST) Computer,Electrical and Mathematical Sciences and Engineering (CEMSE) Division,Thuwal,Saudi Arabia,23955-6900

2. University of Ain Temouchent,Smart Structures Laboratory (SSL) Faculty of Science and Technology,Ain Temouchent,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553919.pdf?arnumber=10553919

Reference30 articles.

1. The role of renewable energy in the global energy transformation

2. A review on renewable energy transition in Australia: An updated depiction

3. Review of photovoltaic power forecasting

4. Short-Term Forecasting of Photovoltaic Solar Power Production Using Variational Auto-Encoder Driven Deep Learning Approach

5. PV power forecasting based on data-driven models: a review

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