load forecasting Latest Research Papers

2022 ◽

Vol 109 ◽

pp. 104645

Author(s):

Ibrahim Yazici ◽

Omer Faruk Beyca ◽

Dursun Delen

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Real Case ◽

Short Term ◽

Electricity Load ◽

Case Application ◽

Electricity Load Forecasting

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Cost-oriented load forecasting

Electric Power Systems Research ◽

10.1016/j.epsr.2021.107723 ◽

2022 ◽

Vol 205 ◽

pp. 107723

Author(s):

Jialun Zhang ◽

Yi Wang ◽

Gabriela Hug

Keyword(s):

Load Forecasting

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Medium-term load forecasting in isolated power systems based on ensemble machine learning models

Energy Reports ◽

10.1016/j.egyr.2021.11.175 ◽

2022 ◽

Vol 8 ◽

pp. 612-618

Author(s):

Pavel Matrenin ◽

Murodbek Safaraliev ◽

Stepan Dmitriev ◽

Sergey Kokin ◽

Anvari Ghulomzoda ◽

...

Keyword(s):

Machine Learning ◽

Power Systems ◽

Load Forecasting ◽

Learning Models ◽

Medium Term ◽

Ensemble Machine Learning ◽

Machine Learning Models

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LS-LSTM-AE: Power load forecasting via Long-Short series features and LSTM-Autoencoder

Energy Reports ◽

10.1016/j.egyr.2021.11.172 ◽

2022 ◽

Vol 8 ◽

pp. 596-603

Author(s):

Xin Tong ◽

Jingya Wang ◽

Changlin Zhang ◽

Teng Wu ◽

Haitao Wang ◽

...

Keyword(s):

Load Forecasting ◽

Short Series ◽

Power Load ◽

Power Load Forecasting

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Probabilistic electric load forecasting through Bayesian Mixture Density Networks

Applied Energy ◽

10.1016/j.apenergy.2021.118341 ◽

2022 ◽

Vol 309 ◽

pp. 118341

Author(s):

Alessandro Brusaferri ◽

Matteo Matteucci ◽

Stefano Spinelli ◽

Andrea Vitali

Keyword(s):

Load Forecasting ◽

Electric Load ◽

Mixture Density ◽

Bayesian Mixture ◽

Electric Load Forecasting

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Short-Term Load Forecasting Using Channel and Temporal Attention Based Temporal Convolutional Network

Electric Power Systems Research ◽

10.1016/j.epsr.2021.107761 ◽

2022 ◽

Vol 205 ◽

pp. 107761

Author(s):

Xianlun Tang ◽

Hongxu Chen ◽

Wenhao Xiang ◽

Jingming Yang ◽

Mi Zou

Keyword(s):

Load Forecasting ◽

Temporal Attention ◽

Short Term ◽

Convolutional Network ◽

Short Term Load Forecasting

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Ensemble power load forecasting based on competitive-inhibition selection strategy and deep learning

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2021.101940 ◽

2022 ◽

Vol 51 ◽

pp. 101940

Author(s):

Hua Luo ◽

Haipeng Zhang ◽

Jianzhou Wang

Keyword(s):

Deep Learning ◽

Competitive Inhibition ◽

Load Forecasting ◽

Selection Strategy ◽

Power Load ◽

Power Load Forecasting

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Power system load forecasting using mobility optimization and multi-task learning in COVID-19

Applied Energy ◽

10.1016/j.apenergy.2021.118303 ◽

2022 ◽

Vol 310 ◽

pp. 118303

Author(s):

Jiefeng Liu ◽

Zhenhao Zhang ◽

Xianhao Fan ◽

Yiyi Zhang ◽

Jiaqi Wang ◽

...

Keyword(s):

Power System ◽

Load Forecasting ◽

System Load ◽

Task Learning

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Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN

Energy Reports ◽

10.1016/j.egyr.2021.12.067 ◽

2022 ◽

Vol 8 ◽

pp. 1678-1686

Author(s):

Tasarruf Bashir ◽

Chen Haoyong ◽

Muhammad Faizan Tahir ◽

Zhu Liqiang

Keyword(s):

Load Forecasting ◽

Short Term ◽

Electricity Load ◽

Electricity Load Forecasting

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Short-term load forecasting based on LSTM networks considering attention mechanism

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.107818 ◽

2022 ◽

Vol 137 ◽

pp. 107818

Author(s):

Jun Lin ◽

Jin Ma ◽

Jianguo Zhu ◽

Yu Cui

Keyword(s):

Load Forecasting ◽

Attention Mechanism ◽

Short Term ◽

Short Term Load Forecasting

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load forecasting
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Deep-learning-based short-term electricity load forecasting: A real case application

Cost-oriented load forecasting

Medium-term load forecasting in isolated power systems based on ensemble machine learning models

LS-LSTM-AE: Power load forecasting via Long-Short series features and LSTM-Autoencoder

Probabilistic electric load forecasting through Bayesian Mixture Density Networks

Short-Term Load Forecasting Using Channel and Temporal Attention Based Temporal Convolutional Network

Ensemble power load forecasting based on competitive-inhibition selection strategy and deep learning

Power system load forecasting using mobility optimization and multi-task learning in COVID-19

Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN

Short-term load forecasting based on LSTM networks considering attention mechanism

Export Citation Format

load forecastingRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Deep-learning-based short-term electricity load forecasting: A real case application

Cost-oriented load forecasting

Medium-term load forecasting in isolated power systems based on ensemble machine learning models

LS-LSTM-AE: Power load forecasting via Long-Short series features and LSTM-Autoencoder

Probabilistic electric load forecasting through Bayesian Mixture Density Networks

Short-Term Load Forecasting Using Channel and Temporal Attention Based Temporal Convolutional Network

Ensemble power load forecasting based on competitive-inhibition selection strategy and deep learning

Power system load forecasting using mobility optimization and multi-task learning in COVID-19

Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN

Short-term load forecasting based on LSTM networks considering attention mechanism

load forecasting
Recently Published Documents