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A Short-Term Power Prediction Method for Photovoltaics Based on Similar Day Clustering and Spatio-Temporal Feature Extraction
1. Introduction Amid the backdrop of severe energy shortages and global warming, renewable energy, characterized by its clean, low-carbon, and sustainable nature, is playing an increasingly crucial role in the formulation of national energy strategies [1]. Photovoltaic (PV) power generation has gained widespread attention globally due to its non-polluting, renewable, and low-cost characteristics, as well as its technological maturity [2].
A-Site Engineering of the High-Entropy Perovskite Pr0.4La0.4Ba0.4Sr0.4Ca0.4Fe2O5+δ Cathode for Intermediate-Temperature SOFCs
RETURN TO ARTICLES ASAPPREVEnergy, Environmenta...Energy, Environmental, and Catalysis ApplicationsNEXT Jianfeng Yu Key Laboratory of Fuel Cell Materials and Devices, School of Materials Science and Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, China , * Linghong Luo Key Laboratory of Fuel Cell Materials and Devices, School of Materials Science and Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, China *Email: luolinghong@tsinghua.org.cn , Liang Cheng Key...
Sheaf-like Manganese-Doped Zinc Silicate with Enhanced Photoluminescence Performance
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