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Energy and AI cover

Energy and AI

IF9.6
Papers895
Citations3065
Journal Papers 864
Publication Date
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Physics-driven deep learning for inverse extraction of capacitive parameters and faradaic contribution in supercapacitors
deleteEnergy and AI
IF9.6
delete2026-10-05
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deleteMelek Arfaoui; David Pech
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Closing the Learning Loop in Lithium–Sulfur Batteries through Physics-Informed and Trustworthy Artificial Intelligence
deleteEnergy and AI
IF9.6
delete2026-10-05
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deleteKa Chun LI; King-cheong Antony LAM; Chi Ho WONG; Wai Kwan LIU
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Large Language Models, ChatGPT, and Beyond: A New Paradigm for Condition Monitoring and Prognosis in Power and Energy Systems
deleteEnergy and AI
IF9.6
delete2026-10-05
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deleteMohamed Benbouzid
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Decentralized Intelligence in Smart Grids: A Comprehensive Survey of Edge Computing and Federated Learning
deleteEnergy and AI
IF9.6
delete2026-10-05
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deletePijush Kanti Dutta Pramanik; Bijoy Kumar Upadhyaya; Ajay Kushwaha; Debashish Bhowmik
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Cross-chemistry battery state-of-health estimation from adaptive partial charging using interpretable physics-informed Efficient Kolmogorov-Arnold networks
deleteEnergy and AI
IF9.6
delete2026-10-05
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deleteZekariyas Yohannes; Yonghong Xu; Yidi Wei; Jian Li; Boru Jia
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Constraint-aware deep reinforcement learning with nonlinear model predictive control shielding for hybrid energy storage systems under pulsed loads
deleteEnergy and AI
IF9.6
delete2026-09-28
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deleteJian Zhang; Xucheng Huang; Tao Zhang; Xiaoqian Li; Weilang Yi
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Vision-based State-of-Charge Estimation in Latent Thermal Energy Storage Systems: A Proof-of-Concept Domain-Adapted Deep Learning Framework
deleteEnergy and AI
IF9.6
delete2026-09-27
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deleteIlaria Marotta; Mohammad Saffari; Giorgio Frazzoni; Salvatore Vasta; Andrea Frazzica; Valeria Palomba
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Cross-condition knee point prediction of lithium-ion batteries using interpretable residual neural networks
deleteEnergy and AI
IF9.6
delete2026-09-24
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deleteJian Wu; Alexandre Ravey; Fei Gao; Daniela Chrenko
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GateFormer: Forecast-Space Decomposition for Intra-Hour Solar Irradiance Prediction from Sky Images
deleteEnergy and AI
IF9.6
delete2026-09-24
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deleteDavid Hamlyn; Sunny Chaudhary; Jonathon Hare; Tasmiat Rahman
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Predictive value of degradation modes for electrode-resolved DC resistance in lithium-ion batteries
deleteEnergy and AI
IF9.6
delete2026-09-23
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deleteCem Sayilgan; Tobias Hofmann; Johannes Sturm; Jacob Hamar; Simon Erhard; Jan Philipp Schmidt; Andreas Jossen
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A hybrid data-driven methodology for forecasting normal and extreme electricity prices
deleteEnergy and AI
IF9.6
delete2026-09-23
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deleteStylianos Loizidis; Andreas Kyprianou; George E. Georghiou
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A machine learning framework for automated planning of hybrid energy systems using generalizable deep reinforcement learning
deleteEnergy and AI
IF9.6
delete2026-09-22
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deleteManuel Sage; Bi Cheng Zhao; Yaoyao Fiona Zhao
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FDASR-PINNs: A Feature-Enhanced Dual-Head Physics-Informed Neural Network for Sparse-Data Liquid Hydrogen Dispersion Prediction
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteChengyang Wang; Shangfeng Jiang; Ting Tao; Shichang Zhao; An Xie; Sheng Zeng
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Solar irradiance forecasting across horizons: information-source boundaries, hand-offs, and evaluation requirements
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteJun Qiu; Dongfang Liang; Bing Guo; Wenming Zhang; Guangtao Fu; Fangfang Li
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Joint Prediction of Thermal Fields and Effective Thermal Conductivity for Thermal Barrier Coatings Using a Physics-informed Gated-modulated Dual-Branch Network
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteHuwei Dai; Lin Yu; Lang Gao; Tianci Wang; Junhong Zhang; Yanmei Jin; Jiewei Lin
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Electricity price prediction with univariate Long Short-Term Memory and zero-shot foundation transformer models
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteTamás Miseta; Attila Fodor; Ágnes Vathy-Fogarassy
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Query-Adaptive Graph Retrieval-Augmented Generation for Traceable Power-Quality Knowledge Reasoning
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteZiqiang Xue; Haiyan Jiang; Yi Zhang; Zhihuang Guo
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Benchmarking Chronos-2 for European Wholesale Electricity Price Forecasting: Evidence from Foundation and Conventional Forecasting Models
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteXiya Lin; JunLong T
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TFD-PINN: A time-stepping finite-difference physics-informed neural network for transient two-phase flows
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteAli Nematollahi; Majid Siavashi; Seohee Jang; Yasser Mahmoudi
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State-Adaptive Forecast Error Recalibration for probabilistic wind power forecasting
deleteEnergy and AI
IF9.6
delete2026-09-17
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deleteMojaesi Vincent Kometsi; Knowledge Chinhamu; Retius Chifurira
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