Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks-Reference-Cited by-同舟云学术

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Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)
language:
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Author:

Hasan-Al-Shaikh ,Rahman Md. Asifur,Zubair Ahmed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8672433/8678913/08679244.pdf?arnumber=8679244

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Hybrid Deep Learning Model to Estimate the Future Electricity Demand of Sustainable Cities;Sustainability;2024-07-30

2. Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters;Evolutionary Intelligence;2023-08-23

3. Energy Demand Forecasting Using Machine Learning Perspective Bangladesh;2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT);2023-03-11

4. Short-Term Load Forecasting Model Considering the Impact of COVID-19 Lockdown in Bangladesh;2021 IEEE International Conference on Telecommunications and Photonics (ICTP);2021-12-22

5. Reinforcement learning for optimization hyperparameters of Long Short-Term Memory applied to Electricity load forecasting;2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT);2021-12-16

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