Comparative Study on Short-term Electric Load Forecasting Techniques

Interval Type-2 Fuzzy Neural Networks for Short Term Electric Load Forecasting: A Comparative Study

International Journal on Soft Computing ◽

10.5121/ijsc.2018.9101 ◽

2018 ◽

Vol 9 (1) ◽

pp. 01-20

Author(s):

Uduak Umoh ◽

Ini Umoeka ◽

Mfon Ntekop ◽

Emmanuel Babalola

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Load Forecasting ◽

Fuzzy Neural Networks ◽

Electric Load ◽

Short Term ◽

Fuzzy Neural ◽

Interval Type ◽

2018 4th International Conference on Green Technology and Sustainable Development (GTSD) ◽

Comparative Study of Short-term Electric Load Forecasting: Case Study EVNHCMC

10.1109/gtsd.2018.8595514 ◽

2018 ◽

Cited By ~ 1

Author(s):

Nguyen Tuan Dung ◽

Tran Thu Ha ◽

Nguyen Thanh Phuong

Keyword(s):

Comparative Study ◽

Load Forecasting ◽

Electric Load ◽

Short Term ◽

A comparative study of BPNN, RBFNN and ELMAN neural network for short-term electric load forecasting: A case study of Delhi region

2014 9th International Conference on Industrial and Information Systems (ICIIS) ◽

10.1109/iciinfs.2014.7036502 ◽

2014 ◽

Cited By ~ 5

Author(s):

Navneet Kumar Singh ◽

Asheesh Kumar Singh ◽

Manoj Tripathy

Keyword(s):

Neural Network ◽

Comparative Study ◽

Load Forecasting ◽

Electric Load ◽

Short Term ◽

Elman Neural Network ◽

2014 5th International Conference on Intelligent Systems, Modelling and Simulation ◽

Comparative Study of Short-Term Electric Load Forecasting

10.1109/isms.2014.85 ◽

2014 ◽

Cited By ~ 6

Author(s):

Bon-gil Koo ◽

Sang-Wook Lee ◽

Wook Kim ◽

June Ho Park

Keyword(s):

Comparative Study ◽

Load Forecasting ◽

Electric Load ◽

Short Term ◽

2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA) ◽

Short-term electric load forecasting using neural networks: A comparative study

10.1109/tdla47668.2020.9326196 ◽

2020 ◽

Author(s):

Luiz Gonzaga Rocha ◽

Symone Gomes Soares Alcala ◽

Lina Paola Garces Negrete

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Load Forecasting ◽

Electric Load ◽

Short Term ◽

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 ◽

Short Term ◽

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 ◽

Short Term ◽

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 ◽

Short Term ◽

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 ◽

Short Term ◽

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 ◽

Short Term ◽

Interval Prediction ◽