Probabilistic Prediction of PV Ramp Events Based on LSTM-Bootstrap-Reference-Cited by-同舟云学术

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Probabilistic Prediction of PV Ramp Events Based on LSTM-Bootstrap

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Smart Grid and Smart Cities (ICSGSC)
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Author:

Huang Yangjue¹,Liu Tong²,Tai Bin¹,Shen Kaicheng¹,Yuan Lyuzerui²,Wang Yin²,Duan Shuyin²,Chen Qianyi²,Liu Shisheng³,Gu Min²

Affiliation:

1. Electrical Power Research Institute China Southern Power Grid (CSG),Guangzhou,China,510663

2. Guangdong Provincial Key Laboratory of Electric Power Equipment Reliability, Electric Power Research Institute Guangdong Power Grid Co., Ltd,Guangzhou,China,510080

3. Foshan Power Supply Bureau, Foshan, Guangdong Guangdong Power Grid Co., Ltd,Foshan,China,528200

Funder

China Southern Power Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319114/10318956/10318960.pdf?arnumber=10318960

Reference11 articles.

1. Forecasting of solar power ramp events: A post-processing approach

2. An empirical model for ramp analysis of utility-scale solar PV power

3. Photovoltaic Power Ramp Prediction Based on Sequential Difference

4. Temporal Uncertainty of Wind Ramp Predictions Using Probabilistic Forecasting Technique

5. Real-time forecasting of solar irradiance ramps with smart image processing

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