The Evolutionary Deep Learning Model for Electrical Load Forecasting

2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) ◽

10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00147 ◽

2020 ◽

Author(s):

Fei Peng ◽

Dan Li ◽

Tianyu An ◽

Hanjun Wang ◽

Changyi Tian ◽

...

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Electrical Load ◽

Electrical Load Forecasting ◽

Deep Learning Model

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A Decomposed and Feature-based Deep Learning Model for Power Load Forecasting

10.1109/iccta48790.2019.9478823 ◽

2019 ◽

Author(s):

Ahmed Saied El-Berawi ◽

Mohamed Belal

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Power Load Forecasting ◽

Feature Based ◽

Deep Learning Model

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A Deep Learning model for day-ahead load forecasting taking advantage of expert knowledge

10.1109/cieec50170.2021.9510666 ◽

2021 ◽

Author(s):

Xiao Zhou ◽

Shaorui Yang ◽

Siyang Sun

Keyword(s):

Deep Learning ◽

Expert Knowledge ◽

Load Forecasting ◽

Learning Model ◽

Deep Learning Model

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Theory-guided deep-learning for electrical load forecasting (TgDLF) via ensemble long short-term memory

Advances in Applied Energy ◽

10.1016/j.adapen.2020.100004 ◽

2021 ◽

Vol 1 ◽

pp. 100004

Author(s):

Yuntian Chen ◽

Dongxiao Zhang

Keyword(s):

Deep Learning ◽

Short Term Memory ◽

Load Forecasting ◽

Electrical Load ◽

Term Memory ◽

Electrical Load Forecasting ◽

Long Short Term Memory

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An ensemble deep learning model for short-term load forecasting based on ARIMA and LSTM

2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ◽

10.1109/smartgridcomm.2019.8909756 ◽

2019 ◽

Author(s):

Lingling Tang ◽

Yulin Yi ◽

Yuexing Peng

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Short Term Load Forecasting ◽

Deep Learning Model

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Load forecasting of hybrid deep learning model considering accumulated temperature effect

Energy Reports ◽

10.1016/j.egyr.2021.11.082 ◽

2021 ◽

Author(s):

Haihong Bian ◽

Qian Wang ◽

Guozheng Xu ◽

Xiu Zhao

Keyword(s):

Deep Learning ◽

Temperature Effect ◽

Load Forecasting ◽

Learning Model ◽

Accumulated Temperature ◽

Deep Learning Model

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Electricity load forecasting using advanced feature selection and optimal deep learning model for the variable refrigerant flow systems

Energy Reports ◽

10.1016/j.egyr.2020.09.019 ◽

2020 ◽

Vol 6 ◽

pp. 2604-2618 ◽

Author(s):

Woohyun Kim ◽

Yerim Han ◽

Kyoung Jae Kim ◽

Kwan-Woo Song

Keyword(s):

Feature Selection ◽

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Flow Systems ◽

Electricity Load ◽

Deep Learning Model ◽

Electricity Load Forecasting

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Comparison of Deep Learning Architectures for Short-Term Electrical Load Forecasting Based on Multi-Modal Data

Cybernetics & Systems ◽

10.1080/01969722.2021.2008679 ◽

2021 ◽

pp. 1-22

Author(s):

H. Chelabi ◽

M. T. Khadir ◽

B. Chikhaoui ◽

A. J. Telmoudi

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Electrical Load ◽

Electrical Load Forecasting ◽

Learning Architectures

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A Hybrid Deep Learning Model with Evolutionary Algorithm for Short-Term Load Forecasting

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA) ◽

10.1109/icrera47325.2019.8996550 ◽

2019 ◽

Author(s):

Abdullah Al Mamun ◽

Muntasir Hoq ◽

Eklas Hossain ◽

Ramazan Bayindir

Keyword(s):

Deep Learning ◽

Evolutionary Algorithm ◽

Load Forecasting ◽

Learning Model ◽

Short Term Load Forecasting ◽

Deep Learning Model

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Short-Term Load Forecasting Based on Deep Learning Model

The Transactions of The Korean Institute of Electrical Engineers ◽

10.5370/kiee.2019.68.9.1094 ◽

2019 ◽

Vol 68 (9) ◽

pp. 1094-1099

Author(s):

Dohyun Kim ◽

Ho Jin Jo ◽

Myung Su Kim ◽

Jae Hyung Roh ◽

Jong-Bae Park

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Short Term Load Forecasting ◽

Deep Learning Model

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A Pyramid-CNN Based Deep Learning Model for Power Load Forecasting of Similar-Profile Energy Customers Based on Clustering

IEEE Access ◽

10.1109/access.2021.3053069 ◽

2021 ◽

Vol 9 ◽

pp. 14992-15003

Author(s):

Khursheed Aurangzeb ◽

Musaed Alhussein ◽

Kumail Javaid ◽

Syed Irtaza Haider

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Similar Profile ◽

Power Load Forecasting ◽

Deep Learning Model

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