Explainable Deep Learning Model for Grid-Connected Photovoltaic System Performance Assessment for Improving System Reliability-Reference-Cited by-同舟云学术

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Explainable Deep Learning Model for Grid-Connected Photovoltaic System Performance Assessment for Improving System Reliability

Published:2024 Issue: Volume:12 Page:120729-120746
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hassan Imad¹^ORCID,Alhamrouni Ibrahim¹^ORCID,Younes Zahraoui²,Azhan Nurul Hanis¹,Mekhilef Saad³^ORCID,Seyedmahmoudian Mehdi³^ORCID,Stojcevski Alex⁴^ORCID

Affiliation:

1. Electrical Engineering Section, British Malaysian Institute, University of Kuala Lumpur, Kuala Lumpur, Malaysia

2. Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

3. Department of Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

4. Curtin Singapore, Urban park, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10662941.pdf?arnumber=10662941

Reference50 articles.

1. Solar energy utilisation: Current status and roll-out potential

2. On the contribution of solar energy to sustainable developments goals: Case study on Mohammed bin Rashid Al Maktoum Solar Park

3. Environmental impacts of solar energy systems: A review

4. Analysis of Dynamic Connectedness Relationships among Clean Energy, Carbon Emission Allowance, and BIST Indexes

5. Exploring the asymmetric impact of economic complexity, FDI, and green technology on carbon emissions: Policy stringency for clean-energy investing countries

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