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Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

Nature communications, 2022-04, Vol.13 (1), p.2261-2261, Article 2261

2022

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High-Performance and Parallel Computing Techniques Review: Applications, Challenges and Potentials to Support Net-Zero Transition of Future Grids

Energies (Basel), 2022-11, Vol.15 (22), p.8668

2022

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An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition

Computers & chemical engineering, 2014-12, Vol.71, p.563-573

2014

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A New Global Solver for Transmission Expansion Planning With AC Network Model

IEEE transactions on power systems, 2022-01, Vol.37 (1), p.282-293

2022

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Predicting xylose yield from prehydrolysis of hardwoods: A machine learning approach

Frontiers in chemical engineering, 2022-10, Vol.4

2022

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Using stochastic programming to train neural network approximation of nonlinear MPC laws

Automatica (Oxford), 2022-12, Vol.146, p.110665, Article 110665

2022

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Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction

Applied energy, 2023-11, Vol.350, p.121660, Article 121660

2023

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Classification of Woody Biomass Images Using Neural Networks and Attention Mechanisms

Industrial & engineering chemistry research, 2024-08, Vol.63 (33), p.14942-14952

2024

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Graph-based modeling and simulation of complex systems

Computers & chemical engineering, 2019-06, Vol.125 (C), p.134-154

2019

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A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid

Applied energy, 2023-10, Vol.348, p.121490, Article 121490

2023

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Stable predictive control of continuous stirred-tank reactors using deep learning

Information sciences, 2024-09, Vol.678, p.120970, Article 120970

2024

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Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach

Energy (Oxford), 2023-01, Vol.263, p.125900, Article 125900

2023

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Stochastic Optimal Device Sizing Model for Zero Energy Buildings: A Parallel Computing Solution

IEEE transactions on industry applications, 2022-05, Vol.58 (3), p.3275-3284

2022

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A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries

Industrial & engineering chemistry research, 2024-01, Vol.63 (1), p.345-357

2024

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Exergy analysis and optimisation of an industrial-scale circulation counter-flow paddy drying process

Energy (Oxford), 2022-07, Vol.251, p.123901, Article 123901

2022

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Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

IEEE transactions on automation science and engineering, 2024, p.1-14

2024

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Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty

Computers & chemical engineering, 2021-04, Vol.147, p.107260, Article 107260

2021

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Does Choice of Power Flow Representation Matter in Transmission Expansion Optimization? A Quantitative Comparison for a Large-Scale Test System

IEEE transactions on industry applications, 2024-01, Vol.60 (1), p.1-9

2024

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Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability

Reliability engineering & system safety, 2022-05, Vol.221, p.108351, Article 108351

2022

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Using stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines

Applied energy, 2018-11, Vol.230, p.1230-1241

2018

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Real-time feasible multi-objective optimization based nonlinear model predictive control of particle size and shape in a batch crystallization process

Control engineering practice, 2017-12, Vol.69 (C), p.1-8

2017

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Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics

Computers & chemical engineering, 2023-09, Vol.177, p.108294, Article 108294

2023

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Supply reliability assessment of a gas pipeline network under stochastic demands

Reliability engineering & system safety, 2021-05, Vol.209, p.107482, Article 107482

2021

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Data‐driven battery capacity estimation using support vector regression and model bagging under fast‐charging conditions

Canadian journal of chemical engineering, 2024-10, Vol.102 (10), p.3322-3332

2024

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Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models

Journal of process control, 2020-06, Vol.90 (C), p.46-55

2020

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Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

High-Performance and Parallel Computing Techniques Review: Applications, Challenges and Potentials to Support Net-Zero Transition of Future Grids

An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition

A New Global Solver for Transmission Expansion Planning With AC Network Model

Predicting xylose yield from prehydrolysis of hardwoods: A machine learning approach

Using stochastic programming to train neural network approximation of nonlinear MPC laws

Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction

Classification of Woody Biomass Images Using Neural Networks and Attention Mechanisms

Graph-based modeling and simulation of complex systems

A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid

Stable predictive control of continuous stirred-tank reactors using deep learning

Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach

Stochastic Optimal Device Sizing Model for Zero Energy Buildings: A Parallel Computing Solution

A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries

Exergy analysis and optimisation of an industrial-scale circulation counter-flow paddy drying process

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty

Does Choice of Power Flow Representation Matter in Transmission Expansion Optimization? A Quantitative Comparison for a Large-Scale Test System

Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability

Using stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines

Real-time feasible multi-objective optimization based nonlinear model predictive control of particle size and shape in a batch crystallization process

Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics

Supply reliability assessment of a gas pipeline network under stochastic demands

Data‐driven battery capacity estimation using support vector regression and model bagging under fast‐charging conditions

Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models

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