A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3046629 ◽

2021 ◽

pp. 1-13

Author(s):

Grzegorz Dudek ◽

Pawel Pelka ◽

Slawek Smyl

Keyword(s):

Load Forecasting ◽

Exponential Smoothing ◽

Electric Load ◽

Electric Load Forecasting

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v1/review2 ◽

2020 ◽

Author(s):

Fengzhang Luo

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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Decision letter for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v1/decision1 ◽

2020 ◽

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v2/review3 ◽

2020 ◽

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v2/review1 ◽

2020 ◽

Author(s):

Linquan Bai

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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A new interval prediction methodology for short-term electric load forecasting based on pattern recognition

Applied Energy ◽

10.1016/j.apenergy.2021.117173 ◽

2021 ◽

Vol 297 ◽

pp. 117173

Author(s):

Xavier Serrano-Guerrero ◽

Marco Briceño-León ◽

Jean-Michel Clairand ◽

Guillermo Escrivá-Escrivá

Keyword(s):

Pattern Recognition ◽

Load Forecasting ◽

Electric Load ◽

Interval Prediction ◽

Electric Load Forecasting

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Analysis of electric load forecasting using combined method (Study case 2019 – 2029 in PT. PLN (Persero) UP3 Sukabumi)

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1098/4/042026 ◽

2021 ◽

Vol 1098 (4) ◽

pp. 042026

Author(s):

I A Rahardjo ◽

M Subekti ◽

P Parjiman ◽

D Rosyanti

Keyword(s):

Load Forecasting ◽

Electric Load ◽

Combined Method ◽

Electric Load Forecasting

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Effects of various factors on electric load forecasting: An overview

2014 6th IEEE Power India International Conference (PIICON) ◽

10.1109/34084poweri.2014.7117763 ◽

2014 ◽

Author(s):

Shahida Khatoon ◽

Ibraheem ◽

Arunesh Kr. Singh ◽

Priti

Keyword(s):

Load Forecasting ◽

Electric Load ◽

Electric Load Forecasting

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Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.247393 ◽

2006 ◽

Author(s):

M. Kobayashi ◽

T. Yukawa ◽

Y. Kuze ◽

T. Matsui ◽

T. Iizaka ◽

...

Keyword(s):

Scatter Search ◽

Load Forecasting ◽

Weighted Average ◽

Weather Conditions ◽

Electric Load ◽

Electric Load Forecasting

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Electric load forecasting using virtual instrument based on dynamic recurrent Elman neural network

2012 Power Engineering and Automation Conference ◽

10.1109/peam.2012.6612460 ◽

2012 ◽

Author(s):

Changhao Xia ◽

Zhonghua Yang ◽

Hongjie Li

Keyword(s):

Neural Network ◽

Virtual Instrument ◽

Load Forecasting ◽

Electric Load ◽

Elman Neural Network ◽

Electric Load Forecasting

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An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting

Energy ◽

10.1016/j.energy.2011.10.034 ◽

2012 ◽

Vol 37 (1) ◽

pp. 657-664 ◽

Author(s):

Jinxing Che ◽

Jianzhou Wang ◽

Guangfu Wang

Keyword(s):

Support Vector Regression ◽

Load Forecasting ◽

Support Vector ◽

Electric Load ◽

Self Organizing Map ◽

Combination Model ◽

Adaptive Fuzzy ◽

Model Based ◽

Self Organizing ◽

Electric Load Forecasting

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