Electricity Short Term Load Forecasting Using Elman Recurrent Neural Network

2010 International Conference on Advances in Recent Technologies in Communication and Computing ◽

10.1109/artcom.2010.44 ◽

2010 ◽

Author(s):

Siddarameshwara N. ◽

Anup Yelamali ◽

Kshitiz Byahatti

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

Elman Recurrent Neural Network

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Convolutional and recurrent neural network based model for short-term load forecasting

Electric Power Systems Research ◽

10.1016/j.epsr.2021.107173 ◽

2021 ◽

Vol 195 ◽

pp. 107173

Author(s):

Hosein Eskandari ◽

Maryam Imani ◽

Mohsen Parsa Moghaddam

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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Short term load forecasting using a synchronously operated recurrent neural network

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) ◽

10.1109/ijcnn.1999.836225 ◽

2003 ◽

Cited By ~ 1

Author(s):

M. Costa ◽

E. Pasero ◽

F. Piglione ◽

D. Radasanu

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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A multiple time series-based recurrent neural network for short-term load forecasting

Soft Computing ◽

10.1007/s00500-017-2624-5 ◽

2017 ◽

Vol 22 (12) ◽

pp. 4099-4112 ◽

Cited By ~ 14

Author(s):

Bing Zhang ◽

Jhen-Long Wu ◽

Pei-Chann Chang

Keyword(s):

Neural Network ◽

Time Series ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Multiple Time ◽

Multiple Time Series ◽

Short Term ◽

Short Term Load Forecasting

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Short-Term Load Forecasting Using BiLinear Recurrent Neural Network

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72395-0_15 ◽

2007 ◽

pp. 111-116 ◽

Cited By ~ 3

Author(s):

Sung Hwan Shin ◽

Dong-Chul Park

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network

Lecture Notes in Computer Science - PRICAI 2006: Trends in Artificial Intelligence ◽

10.1007/978-3-540-36668-3_36 ◽

2006 ◽

pp. 329-338 ◽

Cited By ~ 2

Author(s):

Dong-Chul Park ◽

Chung Nguyen Tran ◽

Yunsik Lee

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network

10.1109/eeeic/icpseurope51590.2021.9584634 ◽

2021 ◽

Author(s):

Elahe Khoshbakhti Vaygan ◽

Roozbeh Rajabi ◽

Abouzar Estebsari

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Deep Recurrent Neural Network ◽

Short Term Load Forecasting

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Layer Recurrent Neural Network based Power System Load Forecasting

TELKOMNIKA Indonesian Journal of Electrical Engineering ◽

10.11591/tijee.v16i3.1632 ◽

2015 ◽

Vol 16 (3) ◽

pp. 423

Author(s):

Nikita Mittal ◽

Akash Saxena

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Absolute Error ◽

Percentage Error ◽

Short Term ◽

Short Term Load Forecasting ◽

Load Pattern ◽

Facility Expansion ◽

Large Distribution

This paper presents a straight forward application of Layer Recurrent Neural Network (LRNN) to predict the load of a large distribution network. Short term load forecasting provides important information about the system’s load pattern, which is a premier requirement in planning periodical operations and facility expansion. Approximation of data patterns for forecasting is not an easy task to perform. In past, various approaches have been applied for forecasting. In this work application of LRNN is explored. The results of proposed architecture are compared with other conventional topologies of neural networks on the basis of Root Mean Square of Error (RMSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE). It is observed that the results obtained from LRNN are comparatively more significant.

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Multi-convolution feature extraction and recurrent neural network dependent model for short-term load forecasting

IEEE Access ◽

10.1109/access.2021.3107954 ◽

2021 ◽

pp. 1-1

Author(s):

Hui Hwang Goh ◽

Biliang He ◽

Hui Liu ◽

Dongdong Zhang ◽

Wei Dai ◽

...

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

Dependent Model

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Short-term load forecasting using diagonal recurrent neural network

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems ◽

10.1109/ann.1993.264286 ◽

2002 ◽

Cited By ~ 13

Author(s):

K.Y. Lee ◽

T.I. Choi ◽

C.C. Ku ◽

J.H. Park

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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Short term load forecasting using a novel recurrent neural network

TENCON 2008 - 2008 IEEE Region 10 Conference ◽

10.1109/tencon.2008.4766829 ◽

2008 ◽

Cited By ~ 6

Author(s):

Sanjib Mishra ◽

Sarat Kumar Patra

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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