Short-Term Load Forecasting in Power System Using Recurrent Neural Network-Reference-Cited by-同舟云学术

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Short-Term Load Forecasting in Power System Using Recurrent Neural Network

Published:2023-07-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on System Science and Engineering (ICSSE)
language:
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Author:

Huy Truong Hoang Bao¹,Vo Dieu Ngoc²,Nguyen Hung Duc³,Truong Hoa Phuoc³,Dang Khanh Tuan²,Truong Khoa Hoang³

Affiliation:

1. Soonchunhyang University,Department of Future Convergence Technology,Asan-si,Chuncheongnam-do,South Korea,31538

2. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10,Department of Power Systems,Ho Chi Minh City,Vietnam

3. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10,Department of Power Delivery,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10227140/10227074/10227203.pdf?arnumber=10227203

Reference16 articles.

1. Short-Term Load Forecasting With Deep Residual Networks

2. Short-Term Load Forecasting Using an LSTM Neural Network

3. Multistage Artificial Neural Network Short-Term Load Forecasting Engine With Front-End Weather Forecast

4. An Efficient Approach to Short-Term Load Forecasting at the Distribution Level

5. Hybrid Load Forecasting for Mixed-Use Complex Based on the Characteristic Load Decomposition by Pilot Signals

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1. Multi-featured short-term electricity load forecasting based on error-optimal weighting method and improved combination forecasting model;2024-05-21

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