Methodology for predicting material performance by context-based modeling: A case study on solid amine CO2 adsorbents by Shuangjun Li, Zhixin Huang, Yuanming Li, Shuai Deng, Xiangkun Elvis Cao

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Harnessing distributed GPU computing for generalizable graph convolutional networks in power grid reliability assessments by Somayajulu L.N. Dhulipala, Nicholas Casaprima, Audrey Olivier, Bjorn C. Vaagensmith, Timothy R. McJunkin, Ryan C. Hruska

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Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling by Ziqiang Chen, Peng Ju, Zhe Wang, Du Huang, Lei Shi, Kangyao Deng

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Probabilistic forecasting of multiple plant day-ahead renewable power generation sequences with data privacy preserving by Hong Liu, Zijun Zhang

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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

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Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization by Sujoy Barua, Adel Merabet, Ahmed Al-Durra, Tarek El Fouly, Ehab F. El-Saadany

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Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life by Christopher Wett, Jörg Lampe, Dominik Görick, Thomas Seeger, Bugra Turan

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DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention by Zheng Chen, Quan Qian

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A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm by Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu

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Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm by Shiyi Fang, Daifen Chen, Xinyu Fan

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Robust survival model for the prediction of Li-ion battery lifetime reliability and risk functions by Rasheed Ibraheem, Timothy I. Cannings, Torben Sell, Gonçalo dos Reis

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Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction by James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

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RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks by Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

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Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames by Hui Du, Tianyu Wang, Haogang Wei, Guy Y. Cornejo Maceda, Bernd R. Noack, Lei Zhou

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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

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Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III by Mingzhang Pan, Xinxin Cao, Changcheng Fu, Shengyou Liao, Xiaorong Zhou, Wei Guan

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A power extraction approach with load state modification for energy disaggregation by Yusen Zhang, Feng Gao, Kangjia Zhou, Shuquan Wang, Hanzhi Wang

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Data-driven modeling of open circuit voltage hysteresis for LiFePO4 batteries with conditional generative adversarial network by Lisen Yan, Jun Peng, Zeyu Zhu, Heng Li, Zhiwu Huang, Dirk Uwe Sauer, Weihan Li

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