Multi‐objective auto‐encoder deep learning‐based stack switching scheme for improved battery life using error prediction of wind‐battery storage microgrid

International Journal of Energy Research ◽

10.1002/er.7117 ◽

2021 ◽

Author(s):

Sthita Prajna Mishra ◽

Vijaya Krishna Rayi ◽

Pradipta Kishore Dash ◽

Ranjeeta Bisoi

Keyword(s):

Deep Learning ◽

Error Prediction ◽

Battery Life ◽

Switching Scheme ◽

Battery Storage ◽

Multi Objective

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A Multi-Objective Generation Expansion Planning with Modeling Load Demand Uncertainty by a Deep Learning- Based Approach

2020 10th Smart Grid Conference (SGC) ◽

10.1109/sgc52076.2020.9335769 ◽

2020 ◽

Author(s):

Farzin Ghasemi Olanlari ◽

Saleh Sadeghi Gougheri ◽

Amirhossein Nikoofard

Keyword(s):

Deep Learning ◽

Demand Uncertainty ◽

Generation Expansion Planning ◽

Multi Objective ◽

Expansion Planning ◽

Generation Expansion ◽

Load Demand

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Deep-learning-based tracking-error prediction for two-axis machining

2020 International Automatic Control Conference (CACS) ◽

10.1109/cacs50047.2020.9289730 ◽

2020 ◽

Author(s):

Wan-Ru Wu ◽

Peng-Sheng Chen

Keyword(s):

Deep Learning ◽

Tracking Error ◽

Error Prediction

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Multi-Objective Optimization of Solar PV and Battery Storage System for A Grid-Connected Household

2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) ◽

10.1109/pedes49360.2020.9379481 ◽

2020 ◽

Author(s):

Rahmat Khezri ◽

Amin Mahmoudi ◽

Hirohisa Aki

Keyword(s):

Storage System ◽

Solar Pv ◽

Multi Objective Optimization ◽

Battery Storage ◽

Multi Objective

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Research on Battery Life prediction Based on Deep Learning

2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec48164.2020.9220734 ◽

2020 ◽

Author(s):

Yaqi Cao ◽

Bo Zhao ◽

Lijie Wang ◽

Hong Shen ◽

Juan Hu

Keyword(s):

Deep Learning ◽

Life Prediction ◽

Battery Life

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A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting

Information Sciences ◽

10.1016/j.ins.2020.08.053 ◽

2021 ◽

Vol 544 ◽

pp. 427-445

Author(s):

Shuai Zhang ◽

Yong Chen ◽

Wenyu Zhang ◽

Ruijun Feng

Keyword(s):

Time Series ◽

Deep Learning ◽

Error Correction ◽

Dynamic Error ◽

Learning Model ◽

Time Series Forecasting ◽

Ensemble Pruning ◽

Multi Objective ◽

Deep Learning Model

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Ensemble deep learning with multi-objective optimization for prognosis of rotating machinery

ISA Transactions ◽

10.1016/j.isatra.2020.09.017 ◽

2020 ◽

Author(s):

Meng Ma ◽

Chuang Sun ◽

Zhu Mao ◽

Xuefeng Chen

Keyword(s):

Deep Learning ◽

Rotating Machinery ◽

Multi Objective Optimization ◽

Multi Objective

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A Multi-Objective Diagnosis Method for Gearbox: Multi Task Deep Learning Based on One-Dimensional Convolution

2019 International Conference 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) ◽

10.1109/ithings/greencom/cpscom/smartdata.2019.00108 ◽

2019 ◽

Author(s):

Xiaoping Zhao ◽

Jiaxin Wu ◽

Yonghong Zhang ◽

Lihua Wang

Keyword(s):

Deep Learning ◽

One Dimensional ◽

Multi Objective ◽

Diagnosis Method

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Voltage regulation, power balancing and battery storage discharge control by smart demand side management and multi-objective decision making

2013 Australasian Universities Power Engineering Conference (AUPEC) ◽

10.1109/aupec.2013.6725405 ◽

2013 ◽

Cited By ~ 3

Author(s):

Farhad Shahnia ◽

Michael T. Wishart ◽

Arindam Ghosh

Keyword(s):

Decision Making ◽

Demand Side Management ◽

Voltage Regulation ◽

Demand Side ◽

Battery Storage ◽

Multi Objective ◽

Power Balancing

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Ultra-Wideband Antenna-Induced Error Prediction Using Deep Learning on Channel Response Data

2017 IEEE 85th Vehicular Technology Conference (VTC Spring) ◽

10.1109/vtcspring.2017.8108571 ◽

2017 ◽

Cited By ~ 3

Author(s):

Janis Tiemann ◽

Johannes Pillmann ◽

Christian Wietfeld

Keyword(s):

Deep Learning ◽

Ultra Wideband ◽

Error Prediction ◽

Wideband Antenna ◽

Channel Response ◽

Response Data

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Multi-objective optimization of demand response in a datacenter with lithium-ion battery storage

Journal of Energy Storage ◽

10.1016/j.est.2016.08.002 ◽

2016 ◽

Vol 7 ◽

pp. 258-269 ◽

Cited By ~ 14

Author(s):

A. Mamun ◽

I. Narayanan ◽

D. Wang ◽

A. Sivasubramaniam ◽

H.K. Fathy

Keyword(s):

Lithium Ion Battery ◽

Demand Response ◽

Lithium Ion ◽

Multi Objective Optimization ◽

Battery Storage ◽

Multi Objective

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