DPGS: data-driven photovoltaic grid-connected system exploiting deep learning and two-stage single-phase inverter

• Main Authors: Tian, Luyu, Dong, Chaoyu, Mu, Yunfei, Jia, Hongjie
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Data-driven photovoltaic-grid systems; Maximum power point tracking
• Online Access: https://hdl.handle.net/10356/175604
• Institution: Nanyang Technological University

The increasing demand for clean energy to address the looming energy crisis has led to the widespread use of photovoltaic grid-connected technology, particularly in microgrids. To fully harness solar energy, this study proposes a data-driven strategy for photovoltaic maximum power point tracking wit...