Short‐term load demand forecasting through rich features based on recurrent neural networks

IET Generation Transmission & Distribution ◽

10.1049/gtd2.12069 ◽

2020 ◽

Author(s):

Dongbo Zhao ◽

Qian Ge ◽

Yuting Tian ◽

Jia Cui ◽

Boqi Xie ◽

...

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Demand Forecasting ◽

Short Term ◽

Load Demand

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Short-term Demand Forecasting for Online Car-hailing Services Using Recurrent Neural Networks

Applied Artificial Intelligence ◽

10.1080/08839514.2020.1771522 ◽

2020 ◽

Vol 34 (9) ◽

pp. 674-689 ◽

Cited By ~ 1

Author(s):

Alireza Nejadettehad ◽

Hamid Mahini ◽

Behnam Bahrak

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Demand Forecasting ◽

Short Term

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Short-term electrical load demand forecasting using artificial neural networks for off-grid distributed generation applications

2017 Saudi Arabia Smart Grid (SASG) ◽

10.1109/sasg.2017.8356472 ◽

2017 ◽

Cited By ~ 2

Author(s):

Tolga Turai ◽

Ian Ballard ◽

Rafat Rob

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Distributed Generation ◽

Demand Forecasting ◽

Electrical Load ◽

Short Term ◽

Load Demand ◽

Artificial Neural

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Double Seasonal Recurrent Neural Networks for Forecasting Short Term Electricity Load Demand in Indonesia

Recurrent Neural Networks for Temporal Data Processing ◽

10.5772/15062 ◽

2011 ◽

Cited By ~ 2

Author(s):

Sony Sunaryo ◽

Suhartono Suhartono ◽

Alfonsus J.

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term ◽

Load Demand ◽

Electricity Load

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ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials

IEEE Access ◽

10.1109/access.2021.3079447 ◽

2021 ◽

pp. 1-1

Author(s):

Wael Deabes ◽

Alaa Sheta ◽

Malik Braik

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Electrical Capacitance Tomography ◽

Electrical Capacitance ◽

Short Term ◽

Term Memory ◽

Conductive Materials ◽

Long Short Term Memory ◽

Capacitance Tomography

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Empirical modeling of ethanol production dynamics using long short-term memory recurrent neural networks

Bioresource Technology Reports ◽

10.1016/j.biteb.2021.100724 ◽

2021 ◽

pp. 100724

Author(s):

Felipe Matheus Mota Sousa ◽

Rodolpho Rodrigues Fonseca ◽

Flávio Vasconcelos da Silva

Keyword(s):

Neural Networks ◽

Ethanol Production ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Empirical Modeling ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory ◽

Production Dynamics

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Towards end-to-end speech recognition for Chinese Mandarin using long short-term memory recurrent neural networks

10.21437/interspeech.2015-717 ◽

2015 ◽

Author(s):

Jie Li ◽

Heng Zhang ◽

Xinyuan Cai ◽

Bo Xu

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory ◽

End To End ◽

Chinese Mandarin

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Parameter compression of recurrent neural networks and degradation of short-term memory

2017 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2017.7965943 ◽

2017 ◽

Author(s):

Jonathan A. Cox

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Short Term ◽

Term Memory

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Combining auto-regression with exogenous variables in sequence-to-sequence recurrent neural networks for short-term load forecasting

2018 IEEE 16th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin.2018.8471953 ◽

2018 ◽

Author(s):

Henning Wilms ◽

Marco Cupelli ◽

Antonello Monti

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Load Forecasting ◽

Short Term ◽

Exogenous Variables ◽

Short Term Load Forecasting ◽

Auto Regression

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Detecting overlapping speech with long short-term memory recurrent neural networks

10.21437/interspeech.2013-27 ◽

2013 ◽

Author(s):

Jürgen T. Geiger ◽

Florian Eyben ◽

Björn Schuller ◽

Gerhard Rigoll

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Robust speech recognition using long short-term memory recurrent neural networks for hybrid acoustic modelling

10.21437/interspeech.2014-151 ◽

2014 ◽

Author(s):

Jürgen T. Geiger ◽

Zixing Zhang ◽

Felix Weninger ◽

Björn Schuller ◽

Gerhard Rigoll

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Robust Speech Recognition ◽

Short Term ◽

Term Memory ◽

Acoustic Modelling ◽

Long Short Term Memory

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