Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks-Reference-Cited by-同舟云学术

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks

Published:2019-12-23 Issue:6 Volume:37 Page:8219-8235
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Motepe Sibonelo¹,Hasan Ali N.¹,Twala Bhekisipho²,Stopforth Riaan³

Affiliation:

1. Faculty of Engineering and The Built Environment, University of Johannesburg, Johannesburg, South Africa

2. Faculty of Engineering and The Built Environment, Durban University of Technology, Durban, South Africa

3. Stopforth Mechatronics Robotics Research Lab, School of Engineering, University of Kwa-Zulu Natal, Durban, South Africa

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference22 articles.

1. Electrical Utility Load Forecasting [includes discussion], Transactions of the American Institute of Electrical Engineers;Godard;Part III: Power Apparatus and Systems,1955

2. A New Approach to Forecasting Daily Peak Loads [includes discussion], Transactions of the American Institute of Electrical Engineers;Gillies;Part III: Power Apparatus and Systems,1956

3. Neural network-based model design for short-term load forecast in distribution systems;Ding;IEEE Transactions on Power Systems,2016

4. Short-term multinodal load forecasting using a modified general regression neural network;Nose-Filho;IEEE transactions on power delivery,2011

5. Nikolopoulos C. , Expert Systems, New York, USA: Marcel Dekker, Inc 1997.

Cited by 6 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. Short Term Load Forecasting Model for Process Industry Based on Hybrid RNN-LSTM Algorithm: A Case Study of Textile Enterprises;2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2);2022-11-11

2. A novel transfer deep learning model with reinforcement-learning-based hyperparameter optimization for short-term load forecasting during the COVID-19 pandemic;Journal of Intelligent & Fuzzy Systems;2022-07-21

3. Forecasting the Total South African Unplanned Capability Loss Factor Using an Ensemble of Deep Learning Techniques;Energies;2022-03-31

4. Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid;Mobile Information Systems;2021-11-29

5. Daily Load Forecasting of Electric Power Manufacturing Industry Considering Disaster Weather Recognition Under the Deep Learning;2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS);2021-11-07