A Machine Learning Based Method for Hydrogen Oxidation Mechanisms Classification in Solid Oxide Cells
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Energy and AI
- Publisher:
- Elsevier
- ISSN:
- 2666-5468
- Category:
- ENERGY & FUELS
- Impact factor:
- 9.6
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Residual-based physics-informed neural network modelling for coupled transport phenomena in porous gas diffusion layers
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An intelligent multi-layer framework for attack conduction, detection and reconstruction in the smart grid with renewable energies
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Dual-path feature extraction with MoE optimization for ultra-short-term wind power forecasting
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Agentic framework for programmatic crystal structure generation using a fine-tuned worker–supervisor large language model
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A weighted least squares error hetero-functional graph state estimator of the American multi-modal energy system
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Forecasting residential heating and electricity demand with scalable, high-resolution, open-source models
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Trustworthy and explainable deep reinforcement learning for safe and energy-efficient process control: A use case in industrial compressed air systems
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A graph neural network enhanced decision transformer for efficient optimization in dynamic smart charging environments
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A Long Short-Term Memory Networks-Informer based Prediction Model in Coal Management of Thermal units
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Evolving power system operator rules for real-time congestion management
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Development of physics-consistent conditional diffusion model to overcome data scarcity in critical heat flux
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Early deployment of deep learning models for lithium-ion battery state-of-health prediction with limited initial data
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Forecasting Finnish aFRR energy reserve market prices using deep learning and tree-based models
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Graph reinforcement learning for power grids: A comprehensive survey
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Explainable optimized voting ensemble for photovoltaic power forecasting
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MI-VMD-BSCNet: A lightweight spatiotemporal modeling framework for tube temperature prediction in coal-fired boiler water-walls
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An adaptive estimation approach based on fisher information to overcome the flat voltage plateau challenges of SOC estimation in LFP batteries
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Transfer learning and explainable AI for heating load forecasting: A large-scale benchmark with SHAP-based static features
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Evaluating the impact of Numerical Weather Prediction variables on wind power forecasting: A case study of the Alpha Ventus offshore wind farm
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TRACE: Time series representation learning with contrastive embeddings for anomaly detection in photovoltaic systems
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Deep reinforcement learning-based coordinated optimization between distribution networks and microgrids towards demand response uncertainty
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A novel spatiotemporal relation fused network for solar photovoltaic power forecasting
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An analytical solutions-enhanced neural network for high-accuracy modeling: A case study on gas turbine
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Advancing multi-generation energy system optimization through artificial intelligence-driven configuration optimization: a novel framework for simultaneous component selection and parameter adjustment
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Data-driven optimization of hybrid membrane electrode assembly configurations for enhanced proton exchange membrane fuel cell performance
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Power system operational reliability evaluation with retrieval-augmented generation enhanced large language model
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Bubble segmentation and heat flux estimation in nucleate boiling using a resource-efficient deep learning framework
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A deep learning framework for heat demand forecasting using time–frequency representations of decomposed features
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Real-world self-adaptive digital twin: An example of commercial air-source heat pump
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