Investigation on Imbibition Recovery Characteristics in Jimusar Shale Oil and White Mineral Oil by NMR by Dunqing Liu, Chengzhi Jia, Keji Chen

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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

“…To ensure computational tractability for real-time applications, a local linearization technique is applied to the NODE dynamics within the MPC, transforming the optimization problem into a standard Quadratic Programming (QP) problem that can be solved efficiently. The framework’s efficacy is comprehensively validated through simulations. …”
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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…This paper addresses the critical challenge of energy efficiency in commercial buildings, where chillers typically consume 40–50% of total building energy. …”
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Utility Transformer DC Bias Caused by Metro Stray Current—A Review by Adisu Makeyaw, Xiaofeng Yang, Xiangxuan Sun, Ke Liu, Tianyi Wu, Lu Chen

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Unconventional Fracture Networks Simulation and Shale Gas Production Prediction by Integration of Petrophysics, Geomechanics and Fracture Characterization by Wensong Huang, Ping Wang, Gang Hui, Xiangwen Kong, Yuepeng Jia, Lei Huang, Yufei Bai, Zhiyang Pi, Ye Li, Fuyu Yao, Penghu Bao, Yujie Zhang

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Evaluating reservoir suitability for large-scale hydrogen storage: A preliminary assessment considering reservoir properties by Chinedu J. Okere, James J. Sheng, Chinedu Ejike

“…The assessment unfolds through three key stages: (1) A systematic evaluation of the reservoir's properties against our comprehensive screening criteria determines its suitability for H2 storage. (2) Using both homogeneous and multilayered gas reservoir models, we explore the feasibility and efficiency of H2 storage. …”
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Research on Fuel Economy of Hydro-Mechanical Continuously Variable Transmission Rotary-Tilling Tractor by Mingzhu Zhang, Ningning Wang, Sikang Zhou

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Gaining CO₂ Reduction Insights with SHAP: Analyzing a Shower Heat Exchanger with Artificial Neural Networks by Sabina Kordana-Obuch, Beata Piotrowska, Mariusz Starzec

“…The application of shower heat exchangers (SHEs) allows for a reduction in the amount of energy necessary to heat domestic hot water (DHW). …”
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Boosting Reservoir Prediction Accuracy: A Hybrid Methodology Combining Traditional Reservoir Simulation and Modern Machine Learning Approaches by Mohammed Otmane, Syed Imtiaz, Adel M. Jaluta, Amer Aborig

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Optimal Control Scheme of Electric Vehicle Charging Using Combined Model of XGBoost and Cumulative Prospect Theory by Youseok Lim, Sungwoo Bae, Jun Moon

“…In this paper, we propose the XPaC (XGBoost Prediction and Cumulative Prospect Theory (CPT)) model to minimize the operational losses of the power grid, taking into account both the prediction of electric vehicle (EV) charging demand and the associated uncertainties, such as when customers will charge, how much electric energy they will need, and for how long. Given that power utilities supply electricity with limited resources, it is crucial to efficiently control EV charging peaks or predict charging demand during specific periods to maintain stable grid operations. …”
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Overload Risk Assessment of Transmission Lines Considering Dynamic Line Rating by Jieling Li, Jinming Lin, Yu Han, Lingzi Zhu, Dongxu Chang, Changzheng Shao

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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

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Research on the Carbon Footprint Accounting Method of Transformer’s Whole Life Cycle Under the Background of Double Carbon by Wei Li, Yifan Bian, Yunyun Zhang, Erbiao Zhou, Lirong Xie

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Survey of Reliability Challenges and Assessment in Power Grids with High Penetration of Inverter-Based Resources by Rouzbeh Haghighi, Van-Hai Bui, Mengqi Wang, Wencong Su

“…While these technologies improve efficiency, planning, operations, and reduce the carbon footprint, they also introduce new challenges. …”
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Optimization Scheduling of Multi-Regional Systems Considering Secondary Frequency Drop by Xiaodong Yang, Xiaotong Hua, Lun Cheng, Tao Wang, Yujing Su

“…Case studies demonstrate that the proposed model effectively mitigates frequency security risks caused by wind turbines’ operational state transitions after primary frequency regulation, while maintaining economic efficiency. The methodology provides theoretical support for the secure integration of high-penetration renewable energy in modern multi-regional power systems.…”
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Electrification of ammonia cracking for on-demand hydrogen production: CFD modeling by Hesam Maleki, Volfango Bertola

“…This paper investigates the design, computational modeling, and thermal optimization of a compact macro-scale ammonia cracking reactor to enable efficient, scalable, and high-conversion hydrogen production through enhanced heat management and non-isothermal kinetic analysis. …”
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Greenhouse Gas Emission Estimation Using Extended Input–Output Tables for Thailand’s Biomass Pellet Industry by Prangvalai Buasan, Boonrod Sajjakulnukit, Thongchart Bowonthumrongchai, Shabbir H. Gheewala

“…This paper highlights the need to prioritize low-emission renewable energy sources, expand technologies with lower lifecycle emissions, optimize the biomass supply chain to enhance efficiency, and introduce sustainable energy practices. …”
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Modulating structural oxygen/crystallinity enables ambient cascade photo‐upgrading of biomass saccharides to lactic acid by Jinshu Huang, Yan Ding, Jie Li, Zhao Hu, Shunmugavel Saravanamurugan, Junqi Wang, Yaqiong Su, Song Yang, Hu Li

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Graphene oxide‐based nanofluidic membranes for reverse electrodialysis that generate electricity from salinity gradients by Changchun Yu, Yiming Xiang, Tom Lawson, Yandi Zhou, Pingan Song, Shulei Chou, Yong Liu

“…Abstract A widely employed energy technology, known as reverse electrodialysis (RED), holds the promise of delivering clean and renewable electricity from water. …”
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Tailoring Dynamic Surface Reconstruction on Nickel Oxalate for Enhanced Hydrogen Production and Zinc–Ethanol–Air Battery by Yong Beom Kim, Sangwoo Kim, Yeongtaek Hong, Jeongah Lee, Hainan Sun, WooChul Jung

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