An energy consumption prediction approach of die casting machines driven by product parameters

Frontiers of Mechanical Engineering ◽

10.1007/s11465-021-0656-0 ◽

2021 ◽

Author(s):

Erheng Chen ◽

Hongcheng Li ◽

Huajun Cao ◽

Xuanhao Wen

Keyword(s):

Energy Consumption ◽

Die Casting ◽

Energy Consumption Prediction ◽

Prediction Approach ◽

Consumption Prediction

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ss5:A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders

2020 IEEE International Conference on Networking, Sensing and Control (ICNSC) ◽

10.1109/icnsc48988.2020.9238073 ◽

2020 ◽

Author(s):

Bobo Wang ◽

Xiaohu Zheng ◽

Jinsong Bao ◽

Jie Li

Keyword(s):

Neural Network ◽

Feature Selection ◽

Energy Consumption ◽

Prediction Model ◽

Energy Consumption Prediction ◽

Consumption Prediction

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CNN-Bi-LSTM Based Household Energy Consumption Prediction

2021 3rd International Conference on Signal Processing and Communication (ICPSC) ◽

10.1109/icspc51351.2021.9451797 ◽

2021 ◽

Author(s):

Kshitij Gaur ◽

Sandeep Kumar Singh

Keyword(s):

Energy Consumption ◽

Household Energy ◽

Household Energy Consumption ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Privileged information-driven random network based non-iterative integration model for building energy consumption prediction

Applied Soft Computing ◽

10.1016/j.asoc.2021.107438 ◽

2021 ◽

Vol 108 ◽

pp. 107438

Author(s):

Hongchang Sun ◽

Wenwen Zhai ◽

Yugang Wang ◽

Lei Yin ◽

Fengyu Zhou

Keyword(s):

Energy Consumption ◽

Random Network ◽

Building Energy ◽

Building Energy Consumption ◽

Privileged Information ◽

Integration Model ◽

Iterative Integration ◽

Energy Consumption Prediction ◽

Consumption Prediction

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A building energy consumption prediction model based on rough set theory and deep learning algorithms

Energy and Buildings ◽

10.1016/j.enbuild.2021.110886 ◽

2021 ◽

Vol 240 ◽

pp. 110886

Author(s):

Lei Lei ◽

Wei Chen ◽

Bing Wu ◽

Chao Chen ◽

Wei Liu

Keyword(s):

Deep Learning ◽

Energy Consumption ◽

Prediction Model ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Learning Algorithms ◽

Building Energy ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Evaluation of Regression Algorithms in Residential Energy Consumption Prediction

2019 3rd European Conference on Electrical Engineering and Computer Science (EECS) ◽

10.1109/eecs49779.2019.00018 ◽

2019 ◽

Author(s):

Pascal A. Schirmer ◽

Iosif Mporas ◽

Ilyas Potamitis

Keyword(s):

Energy Consumption ◽

Residential Energy ◽

Residential Energy Consumption ◽

Regression Algorithms ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification

Energy and Buildings ◽

10.1016/j.enbuild.2021.110929 ◽

2021 ◽

Vol 241 ◽

pp. 110929

Author(s):

Zhenxiang Dong ◽

Jiangyan Liu ◽

Bin Liu ◽

Kuining Li ◽

Xin Li

Keyword(s):

Energy Consumption ◽

Ensemble Learning ◽

Pattern Classification ◽

Office Building ◽

Consumption Pattern ◽

Energy Consumption Prediction ◽

Consumption Prediction ◽

Energy Consumption Pattern

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Energy consumption prediction of cement production based on chaotic neural network-Markov chain

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/675/1/012108 ◽

2021 ◽

Vol 675 (1) ◽

pp. 012108

Author(s):

Run Yin ◽

Chunxia Dou ◽

Dong Yue

Keyword(s):

Neural Network ◽

Markov Chain ◽

Energy Consumption ◽

Chaotic Neural Network ◽

Cement Production ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Integrated multistep Markov-based velocity predictor of energy consumption prediction model for battery electric vehicles

Transportmetrica B Transport Dynamics ◽

10.1080/21680566.2020.1867664 ◽

2021 ◽

Vol 9 (1) ◽

pp. 399-414

Author(s):

Jianhua Guo ◽

Yu Jiang ◽

Cui Liu ◽

Di Zhao ◽

Yuanbin Yu

Keyword(s):

Energy Consumption ◽

Prediction Model ◽

Electric Vehicles ◽

Battery Electric Vehicles ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Genetic algorithms based optimization of artificial neural network architecture for buildings’ indoor discomfort and energy consumption prediction

Building Simulation ◽

10.1007/s12273-012-0059-6 ◽

2012 ◽

Vol 5 (2) ◽

pp. 95-106 ◽

Cited By ~ 27

Author(s):

Florent Boithias ◽

Mohamed El Mankibi ◽

Pierre Michel

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Genetic Algorithms ◽

Energy Consumption ◽

Network Architecture ◽

Neural Network Architecture ◽

Artificial Neural Network Architecture ◽

Artificial Neural ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Interpretable deep learning model for building energy consumption prediction based on attention mechanism

Energy and Buildings ◽

10.1016/j.enbuild.2021.111379 ◽

2021 ◽

pp. 111379

Author(s):

Yuan Gao ◽

Yingjun Ruan

Keyword(s):

Deep Learning ◽

Energy Consumption ◽

Building Energy ◽

Learning Model ◽

Attention Mechanism ◽

Building Energy Consumption ◽

Energy Consumption Prediction ◽

Deep Learning Model ◽

Consumption Prediction

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