A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis with Unlabeled or Insufficient Labeled Data

(2020) Cheng Cheng et al.   NEUROCOMPUTING

An efficient Pearson correlation based improved random forest classification for protein structure prediction techniques

(2020) B. Kalaiselvi et al.   MEASUREMENT

Mutual information based feature subset selection in multivariate time series classification

(2020) Josu Ircio et al.   PATTERN RECOGNITION

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

An efficient recommendation generation using relevant Jaccard similarity

(2019) Sujoy Bag et al.   INFORMATION SCIENCES

A novel capacity estimation method for lithium-ion batteries using fusion estimation of charging curve sections and discrete Arrhenius aging model

(2019) Yuejiu Zheng et al.   APPLIED ENERGY

Remaining useful life prediction for supercapacitor based on long short-term memory neural network

(2019) Yanting Zhou et al.   JOURNAL OF POWER SOURCES

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

(2019) Prashant Shrivastava et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Accelerated fading recognition for lithium-ion batteries with Nickel-Cobalt-Manganese cathode using quantile regression method

(2019) Caiping Zhang et al.   APPLIED ENERGY

Transfer learning with seasonal and trend adjustment for cross-building energy forecasting

(2018) Mauro Ribeiro et al.   ENERGY AND BUILDINGS

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

(2018) Ephrem Chemali et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A novel transfer learning framework for time series forecasting

(2018) Rui Ye et al.   KNOWLEDGE-BASED SYSTEMS

Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization

(2018) Ke Yan et al.   IEEE Transactions on Cybernetics

Performance and cost of materials for lithium-based rechargeable automotive batteries

(2018) Richard Schmuch et al.   Nature Energy

Aging mechanisms under different state-of-charge ranges and the multi-indicators system of state-of-health for lithium-ion battery with Li(NiMnCo)O2 cathode

(2018) Yang Gao et al.   JOURNAL OF POWER SOURCES

Pose-dependent tool tip dynamics prediction using transfer learning

(2018) Gengxiang Chen et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters

(2018) F. Cadini et al.   APPLIED ENERGY

Accelerated degradation model for C-rate loading of lithium-ion batteries

(2018) Saurabh Saxena et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter

(2017) Guangzhong Dong et al.   JOURNAL OF POWER SOURCES

Data-driven hybrid remaining useful life estimation approach for spacecraft lithium-ion battery

(2017) Yuchen Song et al.   MICROELECTRONICS RELIABILITY

A decision cognizant Kullback–Leibler divergence

(2017) Moacir Ponti et al.   PATTERN RECOGNITION

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

(2017) M.A. Hannan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power

(2016) Cristobal Gallego-Castillo et al.   ENERGY

Recursive Bayesian filtering framework for lithium-ion cell state estimation

(2016) Piyush Tagade et al.   JOURNAL OF POWER SOURCES

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

From a novel classification of the battery state of charge estimators toward a conception of an ideal one

(2015) Jana Kalawoun et al.   JOURNAL OF POWER SOURCES

Deep learning

(2015) Yann LeCun et al.   NATURE

A new method of accelerated life testing based on the Grey System Theory for a model-based lithium-ion battery life evaluation system

(2014) Weijun Gu et al.   JOURNAL OF POWER SOURCES

Temperature dependent ageing mechanisms in Lithium-ion batteries – A Post-Mortem study

(2014) Thomas Waldmann et al.   JOURNAL OF POWER SOURCES

Lithium iron phosphate based battery – Assessment of the aging parameters and development of cycle life model

(2013) Noshin Omar et al.   APPLIED ENERGY

Angles between subspaces and their tangents

(2013) P. Zhu et al.   Journal of Numerical Mathematics

A review on lithium-ion battery ageing mechanisms and estimations for automotive applications

(2013) Anthony Barré et al.   JOURNAL OF POWER SOURCES

Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

(2011) Wei He et al.   JOURNAL OF POWER SOURCES

A comparative study of equivalent circuit models for Li-ion batteries

(2011) Xiaosong Hu et al.   JOURNAL OF POWER SOURCES

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Improving memory-based collaborative filtering via similarity updating and prediction modulation

(2009) Buhwan Jeong et al.   INFORMATION SCIENCES