Adaptive Multiresolution Energy Consumption Prediction for Electric Vehicles

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2017.2720587 ◽

2017 ◽

Vol 66 (11) ◽

pp. 10515-10525 ◽

Author(s):

Zonggen Yi ◽

Peter H. Bauer

Keyword(s):

Energy Consumption ◽

Electric Vehicles ◽

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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Energy Consumption Prediction of Electric Vehicles Based on Big Data Approach

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) ◽

10.1109/eeeic.2018.8494573 ◽

2018 ◽

Author(s):

Federica Foiadelli ◽

Michela Longo ◽

Seyedmahdi Miraftabzadeh

Keyword(s):

Big Data ◽

Energy Consumption ◽

Electric Vehicles ◽

Energy Consumption Prediction ◽

Consumption Prediction

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A Unified Approach for Electric Vehicles Range Maximization via Eco-Routing, Eco-Driving, and Energy Consumption Prediction

IEEE Transactions on Intelligent Vehicles ◽

10.1109/tiv.2018.2873922 ◽

2018 ◽

Vol 3 (4) ◽

pp. 463-475 ◽

Author(s):

Laurent Thibault ◽

Giovanni De Nunzio ◽

Antonio Sciarretta

Keyword(s):

Energy Consumption ◽

Electric Vehicles ◽

Unified Approach ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Energy Consumption Prediction for Electric Vehicles Based on Real-World Data

Energies ◽

10.3390/en8088573 ◽

2015 ◽

Vol 8 (8) ◽

pp. 8573-8593 ◽

Author(s):

Cedric De Cauwer ◽

Joeri Van Mierlo ◽

Thierry Coosemans

Keyword(s):

Energy Consumption ◽

Electric Vehicles ◽

Real World Data ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Big-Data Based Online State of Charge Estimation and Energy Consumption Prediction for Electric Vehicles

10.4271/2016-01-1200 ◽

2016 ◽

Author(s):

Zhiyun Zhang ◽

Miaohua Huang ◽

Yupu Chen ◽

Dong Gao

Keyword(s):

Big Data ◽

Energy Consumption ◽

Electric Vehicles ◽

State Of Charge ◽

Energy Consumption Prediction ◽

State Of Charge Estimation ◽

Consumption Prediction

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A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions

Energies ◽

10.3390/en10050608 ◽

2017 ◽

Vol 10 (5) ◽

pp. 608 ◽

Author(s):

Cedric De Cauwer ◽

Wouter Verbeke ◽

Thierry Coosemans ◽

Saphir Faid ◽

Joeri Van Mierlo

Keyword(s):

Energy Consumption ◽

Electric Vehicles ◽

Energy Efficient ◽

Data Driven ◽

Energy Efficient Routing ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Matlab/Simulink Based Energy Consumption Prediction of Electric Vehicles

10.1109/ee53374.2021.9628314 ◽

2021 ◽

Author(s):

Filip Jankovic ◽

Lazar Scekic ◽

Sasa Mujovic

Keyword(s):

Energy Consumption ◽

Electric Vehicles ◽

Matlab Simulink ◽

Energy Consumption Prediction ◽

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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