The Optimal Scheduling of Integrated Energy System Considering the Incentive and Punishment Mechanism of Electric and Thermal Carbon Emission Factors by Kaiyan Wang, Hengxiang He, Ningning Yang, Xiaowei Wang, Rong Jia

“…To comprehensively explore the potential for carbon reduction through source-load synergy and achieve low-carbon and high-efficiency operation of the system, an IES optimal scheduling method that incorporates a reward and punishment mechanism for dynamic electricity and thermal carbon emission factors is proposed. …”
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Status and prospects of low carbon development in offshore oil and gas industry by CHEN Hongju, LIU Qiang, SUN Lili, YU Hang

“…Based on an analysis of the current status of low-carbon development in the domestic and international oil and gas industries, and considering the characteristics of offshore oil and gas development in China, this study first examines the main measures and technologies adopted for green and low-carbon transformation in recent years from three aspects: establishing standards and source intensity analysis to strengthen source control, implementing clean energy substitution and energy efficiency improvement for process management, and end-of-pipe management through CO₂ geological storage, CO₂-EOR（Enhanced Oil Recovery）, and CO₂ hydrate storage. …”
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Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis by Saleem Nasir, Abdallah Berrouk, Asim Aamir

“…Abstract Artificial Neural Networks are incredibly efficient at handling complicated and nonlinear mathematical problems, making them very useful for tackling these challenges. …”
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Efficient Large-scale Mapping of <em>Acacia Tortilis</em> Trees Using UAV-based Images and Transformer-based Semantic Segmentation Architectures by M. B. A. Gibril, A. Shanableh, A. Shanableh, A. Shanableh, R. Al-Ruzouq, R. Al-Ruzouq, N. Hammouri, F. Lamghari, S. M. Ahmed, A. Mansour, R. Jena, H. Shanableh, M. A. Almarzouqi, N. S. Alafayfeh, S. Z. Ghebremeskel

“…Subsequently, Mask2Former, a semantic segmentation architecture utilizing a dual-attention vision transformer backbone, was implemented to segment the Acacia trees. …”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
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Bandwagon effect, free-rider effect, tragedy of the commons: collaborative governance of marine pollution by Yu Gu

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Sustainable energy production: Performance evaluation of a generator-set using cow dung-based biogas by Kusnadi Kusnadi, Mazlan Abdul Wahid, Mohd Fairus Mohd Yasin, Ahmad Rajani, Ahmad Fudholi

“…Interest in utilizing new and renewable energy sources, commonly known as bioenergy, has significantly grown in the past decade due to the mounting environmental concerns, such as air pollution, global warming, and ozone layer depletion, resulting from the accelerated consumption of fossil fuels. …”
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Performance Analysis of Optical Wireless Channel Based on Beamforming Techniques Using Advanced Modulation Schemes by Lwaa Faisal Abdulameer, Adil Fadhil Mushatet, Tania Tariq Salim

“…Gamma-Gamma distribution has been used to compute the bit error rate and spectral efficiency. An arbitrary number of light-emitting diodes and photo-detectors are used at the sources and detectors. …”
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A Literature Review on the European Legislative Framework for Energy Efficiency, Nearly Zero-Energy Buildings (nZEB), and the Promotion of Renewable Electricity Generation by Eugen Iavorschi, Laurențiu Dan Milici, Visarion Cătălin Ifrim, Constantin Ungureanu, Ciprian Bejenar

“…Consequently, this paper aims to provide a comprehensive synthesis of the key legislative norms targeting the energy efficiency of buildings and the necessity of utilizing renewable energy sources for electricity generation, with a particular focus on the forecasts for the year 2030. …”
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Large Spin Hall Efficiency and Current‐Induced Magnetization Switching in Ferromagnetic Heusler Alloy Co2MnAl‐Based Magnetic Trilayers by Mingzhi Wang, Chang Pan, Nian Xie, Xuepeng Qiu, Yufei Li, Lili Lang, Shiqiang Wang, Dashuai Cheng, Weijia Fan, Shi‐Ming Zhou, Zhong Shi

“…Recent studies have highlighted the use of ferromagnetic materials as robust spin sources, paving the way for the development of more efficient SOT devices. …”
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Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri... by Basim ALBaaj, Orhan Kaplan

“…While COVIDOA has been utilized to solve engineering problems, it faces difficulties with non-linear and non-convex issues. …”
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Efficient Electrochemical CO2 Reduction Using AgN3 Single‐Atom Sites Embedded in Free‐Standing Electrodes for Flow Cell Applications by M. Nur Hossain, Ali Malek, Zhangsen Chen, Lei Zhang, Shuhui Sun, Hanshuo Liu, Roberto Neagu, Jigang Zhou, Hui Yuan, Christopher S. Allen, Gianluigi Botton

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Maximizing Nano-Silica Efficiency in Laboratory-Simulated Recycled Concrete Aggregate via Prior Accelerated Carbonation: An Effective Strategy to Up-Cycle Construction Wastes by Cheng-Gong Lu, Xiu-Cheng Zhang, Xue-Fei Chen

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Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…With the rapid transition toward green and low-carbon energy systems, efficient scheduling of power systems is crucial for improving energy utilization and reducing carbon emissions. …”
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Research on Hybrid Heating System in Cold Oilfield Regions by Meng Xu, Zhiyang Xu, Xinxin Wei, Gaoxiang Zhang, Changyu Liu

“…Efficient and clean treatment of wastewater and energy recovery and utilization are important links to realize low-carbon development of oilfields. …”
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Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks by Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, Kinde Anlay Fante

“…STLF plays a crucial role in economic load dispatch, hydrothermal coordination, system security assessment, load shedding, unit commitment, and cost-effective risk management in power systems with renewable energy sources. In this study, we introduce a Long Short-Term Memory (LSTM), augmented with enhancements inspired by an Efficient and Parallel Genetic Algorithm (EPGA) for the STLF of Jimma town power distribution system. …”
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Interfacial charge transfer induced dual- active-sites of RuO2-NiO/NF electrode for high efficiency electrocatalytic hydrogen evolution by CHEN Hui, LIU Xuehua, LIN Yan, CHEN Song, WANG Weiguo

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An Investigation of factors Influencing electric vehicles charging Needs: Machine learning approach by Cuthbert Ruseruka, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Debbie Indah, Sarah Kasomi, Tumlumbe Juliana Chengula

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Two-stage coordinated energy scheduling of intelligent connected transportation systems considering nonanticipativity by Junjie Hu, Jun Wu, Chengming Xu, Xuetao Liu, Baozhu Liu

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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…On this basis, rice and wheat ear data collected by smartphones and drones are used, along with transfer learning and a staged data introduction strategy, to achieve efficient integration of multi-source data, significantly improving the generalization ability and adaptability of the model for detecting rice and wheat ear targets. …”
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