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Widanalage Dhammika Widanage
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2020 – today
- 2023
- [c3]Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas:
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. CLeaR 2023: 88-121 - [c2]Chuanxin Fan, Tao Zhao, Widanalage Dhammika Widanage:
A Comparative Study of Equivalent Circuit Models with Diverse Nonlinear Dynamics for Li-Ion Batteries. IECON 2023: 1-6 - [i6]Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas:
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. CoRR abs/2301.05893 (2023) - [i5]Noël Hallemans, David Howey, Alberto Battistel, Nessa Fereshteh Saniee, Federico Scarpioni, Benny Wouters, Fabio La Mantia, Annick Hubin, Widanalage Dhammika Widanage, John Lataire:
Electrochemical impedance spectroscopy beyond linearity and stationarity - a critical review. CoRR abs/2304.08126 (2023) - [i4]Freja Vandeputte, Noël Hallemans, Jishnu Ayyangatu Kuzhiyil, Nessa Fereshteh Saniee, Widanalage Dhammika Widanage, John Lataire:
Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries. CoRR abs/2305.15840 (2023) - 2022
- [i3]Kotub Uddin, James Schofield, Widanalage Dhammika Widanage:
State of Health Estimation of Lithium-Ion Batteries in Vehicle-to-Grid Applications Using Recurrent Neural Networks for Learning the Impact of Degradation Stress Factors. CoRR abs/2205.07561 (2022) - 2021
- [j6]Truong Minh Ngoc Bui, Muhammad Sheikh, Truong Q. Dinh, Aniruddha Gupta, Widanalage Dhammika Widanage, James Marco:
A Study of Reduced Battery Degradation Through State-of-Charge Pre-Conditioning for Vehicle-to-Grid Operations. IEEE Access 9: 155871-155896 (2021) - [j5]Xiaopeng Tang, Kailong Liu, Kang Li, Widanalage Dhammika Widanage, Emma Kendrick, Furong Gao:
Recovering large-scale battery aging dataset with machine learning. Patterns 2(8): 100302 (2021) - [j4]Kailong Liu, Yunlong Shang, Quan Ouyang, Widanalage Dhammika Widanage:
A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery. IEEE Trans. Ind. Electron. 68(4): 3170-3180 (2021) - [i2]Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, Widanalage Dhammika Widanage, James Marco:
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification. CoRR abs/2102.06029 (2021) - 2020
- [j3]Kailong Liu, Yi Li, Xiaosong Hu, Mattin Lucu, Widanalage Dhammika Widanage:
Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries. IEEE Trans. Ind. Informatics 16(6): 3767-3777 (2020)
2010 – 2019
- 2019
- [c1]James Jeffs, Andrew McGordon, Alessandro Picarelli, Simon Robinson, Widanalage Dhammika Widanage:
System level heat pump model for investigations into thermal management of electric vehicles at low temperatures. Modelica 2019: 157:011 - 2018
- [i1]Anna Marconato, Maarten Schoukens, Koen Tiels, Widanalage Dhammika Widanage, Amjad Abu-Rmileh, Johan Schoukens:
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example. CoRR abs/1804.07035 (2018)
2000 – 2009
- 2009
- [j2]Widanalage Dhammika Widanage, John L. Douce, Keith R. Godfrey:
Effects of Overlapping and Windowing on Frequency Response Function Estimates of Systems With Random Inputs. IEEE Trans. Instrum. Meas. 58(1): 214-220 (2009) - 2007
- [j1]Johan Schoukens, Widanalage Dhammika Widanage, Keith R. Godfrey, Rik Pintelon:
Initial estimates for the dynamics of a Hammerstein system. Autom. 43(7): 1296-1301 (2007)
Coauthor Index
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