On-line Diagnosis Technology of Distributed Photovoltaic Abnormal Generation Based on Output Prediction-Reference-Cited by-同舟云学术

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On-line Diagnosis Technology of Distributed Photovoltaic Abnormal Generation Based on Output Prediction

Published:2020-05-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence
language:
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Author:

Jing Zhang¹,Songlin Zuo²,Huizhou Liu²,Yanyan Ni³,Wen Fan⁴,Yan Chen⁵,Wenjie Dong⁴,Bao Yuan⁵,Yanghong Ou⁵

Affiliation:

1. StateGrid Info & Telecom Co., Ltd., Beijing China-Power Information Technology Co., Ltd., Beijing, China

2. State Grid Anhui Electric Power Co., Ltd., Hefei, China

3. State Grid Anhui Electric PowerCo., Ltd. Hefei, China

4. State Grid Tongling Electric Power Supply Company, Tongling, China

5. State Grid Info & Telecom Co., Ltd., Beijing China-Power Information Technology Co., Ltd., Beijing, China

Publisher

ACM

Reference17 articles.

1. 国家能源局. 2018 年光伏发电统计信息. [EB/OL]. http://www.nea.gov.cn/2019-03/19/c_137907428.htm. 国家能源局. 2018 年光伏发电统计信息. [EB/OL]. http://www.nea.gov.cn/2019-03/19/c_137907428.htm.

2. Study on the Development of Renewable Energy During"Post-Subsidy Period" in China.;Yunzhou LIU;Electric Power,2019

3. Design and engineering application of intelligent operation and maintenance service system for distributed poverty alleviation photovoltaic[J].;Baofu SHU;Electrical Measurement & Instrumentation,2019

4. Fault Detection Method for Single String Modules in Photovoltaic Array and PSIM Simulation[J].;Liang CHEN;Hydropower And New Energy

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