Ultra-short-term Photovoltaic Power Prediction Based on STCN Model-Reference-Cited by-同舟云学术

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Ultra-short-term Photovoltaic Power Prediction Based on STCN Model

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)
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Author:

Yuan Zhaofeng¹,Bai Yongmei²,An Ting¹,Hu Feihu³,Li Xin³

Affiliation:

1. State Grid Qingyang Electric Power Company,Qingyang,China,745000

2. State Grid Qingyang Heshui Electric Power Company,Heshui,China,745400

3. (Xi’an Jiao Tong University),State Key Laboratory of Electrical Insulation and Power Equipment,Xi’an,China,710049

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262398/10262829/10262932.pdf?arnumber=10262932

Reference21 articles.

1. Temporal convolutional networks: A unified approach to action segmentation[C];lea;European Conference on Computer Vision,2016

2. A Hybrid Spatio-Temporal Prediction Model for Solar Photovoltaic Generation Using Numerical Weather Data and Satellite Images

3. Short-Term Load Forecasting Algorithm Based on LST-TCN in Power Distribution Network

4. Ultra-short-term power prediction of offshore wind power based on improved LSTM-TCN model ?J?;yang;Proceedings of the CSEE,2022

5. Real-Time Water-Level Forecasting Using Dilated Causal Convolutional Neural Networks

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