Forecasting of Energy Consumption and Production Using Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Forecasting of Energy Consumption and Production Using Recurrent Neural Networks

Published:2020-10-06 Issue:3 Volume:18 Page:
ISSN:1804-3119
Container-title:Advances in Electrical and Electronic Engineering
language:
Short-container-title:AEEE

Author:

Shabbir Noman,Kutt Lauri,Jawad Muhammad,Iqbal Muhammad Naveed,Ghahfaroki Payam Shams

Publisher

VSB - Technical University of Ostrava

Subject

Electrical and Electronic Engineering

Cited by 14 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. Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management;Applied Energy;2024-10

2. A novel attention-based long short term memory and fully connected neutral network approach for production energy consumption prediction under complex working conditions;Engineering Applications of Artificial Intelligence;2024-07

3. Short-Term Residental DC Load Forecasting Using Extreme Gradient Boost (XgBoost) Algorithm;2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2024-06-24

4. Forecasting of G7 Countries' Total Energy Production: A Rigorous Exploration with Artificial Neural Networks and Multiple Linear Regression;2024-06-03

5. Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Monitoring;Electronics;2024-04-09

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