Sim-to-Real Global Maximum Power Point Tracking with Domain Randomization and Adaptation for Photovoltaic Systems

Kangshi Wang, Jieming Ma, Ka Lok Man, Kaizhu Huang, Xiaowei Huang

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Pages (from-to)	1-11
Number of pages	11
Journal	IEEE Journal of Emerging and Selected Topics in Industrial Electronics
DOIs	https://doi.org/10.1109/JESTIE.2023.3317803
Publication status	Published - 20 Sept 2023

Keywords

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Sim-to-Real Global Maximum Power Point Tracking with Domain Randomization and Adaptation for Photovoltaic Systems",

keywords = "Adaptation models, Reactive power, Maximum power point trackers, Atmospheric modeling, Voltage, Data models, Photovoltaic systems",

author = "Kangshi Wang and Jieming Ma and Man, {Ka Lok} and Kaizhu Huang and Xiaowei Huang",

year = "2023",

month = sep,

day = "20",

doi = "10.1109/JESTIE.2023.3317803",

language = "未定义/未知",

pages = "1--11",

journal = "IEEE Journal of Emerging and Selected Topics in Industrial Electronics",

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TY - JOUR

T1 - Sim-to-Real Global Maximum Power Point Tracking with Domain Randomization and Adaptation for Photovoltaic Systems

AU - Wang, Kangshi

AU - Ma, Jieming

AU - Man, Ka Lok

AU - Huang, Kaizhu

AU - Huang, Xiaowei

PY - 2023/9/20

Y1 - 2023/9/20

KW - Adaptation models

KW - Reactive power

KW - Maximum power point trackers

KW - Atmospheric modeling

KW - Voltage

KW - Data models

KW - Photovoltaic systems

U2 - 10.1109/JESTIE.2023.3317803

DO - 10.1109/JESTIE.2023.3317803

M3 - 文章

SP - 1

EP - 11

JO - IEEE Journal of Emerging and Selected Topics in Industrial Electronics

JF - IEEE Journal of Emerging and Selected Topics in Industrial Electronics

ER -