ScienceDirect Publication: Applied Energy rss.sciencedirect.com

Integrated deep stacked autoencoder–BiLSTM networks and online geometric electrochemical impedance spectroscopy data for real-time fault diagnosis and health as...

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Enhancing defossilization through optimal design of hydrogen infrastructures in energy communities

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Robust coordinated scheduling for multiple port-integrated energy systems using mobile energy storage vessels under source-load uncertainty

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A combinatorial multi-objective optimisation model to support the design of urban renewable energy communities

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Constrained multimodal multi-objective optimization for large-scale wind farm layout by tri-population coevolutionary framework

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Refined electrode process quantization based on constrained equivalent circuit and its application on fuel cell and electrolysis cell in small and large stack

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Review of key technologies and development trends of photovoltaic panel cleaning robots

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Decarbonizing construction machinery: Data-driven lifecycle assessment of a hydraulic excavator using electrified and alternative-fuel hybrid power systems

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Hierarchical cyber–physical defense strategy for integrated electricity–gas systems under attack-induced fault propagation

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System-level energy modeling of an all-electric regional aircraft under Arctic flight conditions

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Characterizing uncertainties in residential electrification: Financial feasibility, climate impacts, and health outcomes

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Advances in hard carbon anodes for sodium-ion batteries: understanding defect-pore interactions and interphase evolution, degradation mechanisms, operando/in-si...

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Cellulose-based membranes for PEM fuel cells: Acidic durability and recent advances

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A novel integrated strategy for coordinated optimization of energy management and air supply control based on multi-agent reinforcement learning for fuel cell h...

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A hybrid physical-data driven model on proton exchange membrane fuel cells for cooling, heating and power supply with gas heat recovery

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Turning trash into treasure: Agro-waste valorization for enhanced biohydrogen production with special focus on biochar-centric mechanisms

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PowerMistral: A data-efficient wind power forecasting framework leveraging pre-trained large language models

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Blockchain-integrated software defined decentralized peer-to-peer energy trading network for sustainable smart power grid

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Thermal energy demand database for typical British dwellings

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Image-based prediction of soiling-induced power loss in solar panels: A novel neural architecture search method via reinforcement learning

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