Article-Journal

Torrefaction severity influence on the nutrient composition of biomass
Soil amendment has recently been addressed as one of the promising applications of torrefied biomass, where the distribution of …
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Stable predictive control of continuous stirred-tank reactors using deep learning
In this work, a Lyapunov-based predictive control method utilizing deep learning techniques is proposed for driving continuous-time …
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Classification of Woody Biomass Images Using Neural Networks and Attention Mechanisms
Wood biomass is a crucial resource in the field of bioenergy. It is commonly used as a feedstock in bioenergy generation and …
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Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks
Model Predictive Control (MPC) is an optimization-based control scheme exploited in various industrial processes. It determines optimal …
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Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks
Decarbonization of the oil refining industry is essential for reducing carbon emissions and mitigating climate change. Co-processing …
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A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries
Data-driven methods have attracted much attention in capacity estimation and remaining useful life (RUL) prediction of lithium-ion …
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Deep learning‐based hybrid reconstruction algorithm for fibre instance segmentation from 3D x‐ray tomographic images
3D x-ray tomography is a powerful scanning technique used for generating images of complex fibre structures. A novel machine-learning …
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Long short-term memory network with transfer learning for lithium-ion battery capacity fade and cycle life prediction
Machine Learning (ML) is a promising technique for battery health estimation and prediction. However, with more and more types of …
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A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid
With the growing popularity of electric vehicles (EVs), it is a new challenge for the residential microgrid system to conduct charging …
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Does Choice of Power Flow Representation Matter in Transmission Expansion Optimization? A Quantitative Comparison for a Large-Scale Test System
Power transmission network reinforcements must be carefully evaluated to ensure economic, secure, and reliable delivery of electricity. …
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