New Energy Access Potential Evaluation in Station Areas Based on Deep Neural Network-Reference-Cited by-同舟云学术

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New Energy Access Potential Evaluation in Station Areas Based on Deep Neural Network

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)
language:
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Author:

Wang Zhongdong¹,Zhou Yu¹,Li Yue¹,Gao Fan¹,Meng Shanshan¹,Xu Xiaolin¹

Affiliation:

1. State Grid Jiangsu Electric Power Co., Ltd.,Marketing Service Center,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10113858/10114069/10114182.pdf?arnumber=10114182

Reference19 articles.

1. Probabilistic optimal power flow computation based on Archimedean Copula and Latin hypercube sampling[J];xiao;Electric Power Automation Equipment,2019

2. Unified System-Level Modeling of Intermittent Renewable Energy Sources and Energy Storage for Power System Operation

3. An evaluation method of new energy optimal accessing to distribution network[J];yuan;Power System and Clean Energy,2013

4. Cumulant method based on Latin hypercube sampling for calculating probabilistic power flow[J];huang;Electric Power Automation Equipment,2016

5. Reliability evaluation of distribution network based on new energy access[J];wang;Automation and Instrumentation,2021

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