Three PV plants performance analysis using the principal component analysis method
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DOI: 10.1016/j.energy.2020.118315
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Cited by:
- Ameur, Arechkik & Berrada, Asmae & Bouaichi, Abdellatif & Loudiyi, Khalid, 2022. "Long-term performance and degradation analysis of different PV modules under temperate climate," Renewable Energy, Elsevier, vol. 188(C), pages 37-51.
- Muhammad Naveed Akhter & Saad Mekhilef & Hazlie Mokhlis & Ziyad M. Almohaimeed & Munir Azam Muhammad & Anis Salwa Mohd Khairuddin & Rizwan Akram & Muhammad Majid Hussain, 2022. "An Hour-Ahead PV Power Forecasting Method Based on an RNN-LSTM Model for Three Different PV Plants," Energies, MDPI, vol. 15(6), pages 1-21, March.
- Pin Li & Jinsuo Zhang, 2023. "China’s Inter-Provincial Energy Security Resilience Assessment over Space and Time: An Improved Gray Relational Projection Model," Energies, MDPI, vol. 16(7), pages 1-22, March.
- Rediske, Graciele & Michels, Leandro & Siluk, Julio Cezar Mairesse & Rigo, Paula Donaduzzi & Rosa, Carmen Brum & Lima, Andrei Cunha, 2024. "A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants," Applied Energy, Elsevier, vol. 354(PA).
- Dai, Yeming & Wang, Yanxin & Leng, Mingming & Yang, Xinyu & Zhou, Qiong, 2022. "LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method," Energy, Elsevier, vol. 256(C).
- Ma, Chao & Wu, Runze & Liu, Zhao & Li, Xinyang, 2024. "Performance assessment of different photovoltaic module technologies in floating photovoltaic power plants under waters environment," Renewable Energy, Elsevier, vol. 222(C).
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Keywords
PCA; Performance ratio; Final yield; Solar photovoltaic plant; Silicon PV technologies;All these keywords.
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