Monthly economic scheduling analysis of virtual power plant with electric vehicles: Analyzing from single-objective to tri-objective perspectives by Shaofan Li, Huaichun Zhou, Guanfeng Du, Shengxian Cao, Gong Wang, Jie Duan

“…The research also explores four scheduling strategies, progressing from single-objective optimization to multi-objective optimization. The single-objective to tri-objective perspectives method is utilized to analyze the interactions between objectives, transitioning from a simplified single-objective analysis to a more complex tri-objective approach. …”
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Sliding mode control based dynamic voltage restorer for voltage sag compensation by Ashraf K. Abdelaal, Abdullah M. Shaheen, Attia A. El-Fergany, Mohammed H. Alqahtani

“…It details the construction, operation, and control methods of DVRs, comparing the conventional PI-controller with SMC. …”
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Off-Design Analysis of Power-to-Gas System Based on Solid-Oxide Electrolysis with Nominal Power of 25 kW by Grzegorz Koziński, Jarosław Milewski, Jakub Kupecki

“…Solid-oxide electrolysis (SOE) offers a method to produce clean hydrogen without harmful emissions, being the most efficient of all electrolysis methods. …”
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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…With better results, the proposed model attained superior performance compared to existing methods such as CNN, LSTM, and BiLSTM algorithms.…”
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Nodal Carbon Emission Factor Prediction for Power Systems Based on MDBO-CNN-LSTM by Lihua Zhong, Feng Pan, Yuyao Yang, Lei Feng, Haiming Shao, Jiafu Wang

“…Current carbon emission prediction methods for power systems exhibit limited computational efficiency and inadequate noise immunity under complex operating conditions. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

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A study on power supply restoration strategy considering flexible resource regulation ability by Xuefeng Liu, Fuguo Jin, Feng Guo, Jiwei Yang, Xiaoyi Qian, Dejin Feng

“…Last, the IEEE 33‐bus system proves that this method can quickly find the optimal path of power supply recovery and effectively reduce the power loss rate of essential loads, thus improving the toughness of urban distribution networks.…”
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Analysis of the Effectiveness of the Pricing Policy of the Organization: Practical Aspect (on the Example of JSC “Verkhnebakansky Cement Plant”) by I. P. Kovaleva

“…This is especially true in conditions of instability, when commercial organizations are forced to look for various ways and methods to optimize their activities. One of such methods is the study of the financial results of the organization’s activities when applying various pricing tactics, for example, using discounts and without them for regular customers. …”
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Distributionally Robust Operation for Flexible Distribution Networks Considering Multi-correlation of Renewable Power Generation by Zhiwei LIU, Yue MA, Zhicheng SHA, Yunshu SHAO, Yuanfang NIU, Xiaoming DONG, Chengfu WANG

“…Firstly, aiming to minimize active power loss and voltage deviation in the distribution network, an optimal power flow model for flexible distribution networks is derived and constructed, incorporating various coordinated control measures for sources, grids and loads. …”
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Sensitivity of biological sewage disposal efficiency functional to parameters of biogen concentration dynamics model by Е. S. Zhmenya, N. S. Buzalo

“…A practical example of the method application for the optimal control problem for an aeration tank (an element of the sewage treatment plant for the biological sewage treatment) is considered.Discussion and Conclusions. …”
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Improving Energy Efficiency with Energy Recovery for Propylene Production by Andi Nadhif Athallah Hurairah, Danu Pasa Arkajaya, Tenisyah Ramadhani, Virgi Achmad Fahrezi

“…This study focuses on optimizing energy consumption by integrating heat recovery and reducing the reliance on external energy sources. …”
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Fractional-Order Swarming Intelligence Heuristics for Nonlinear Sliding-Mode Control System Design in Fuel Cell Hybrid Electric Vehicles by Nabeeha Qayyum, Laiq Khan, Mudasir Wahab, Sidra Mumtaz, Naghmash Ali, Babar Sattar Khan

“…This paper presents a DSMC strategy enhanced with Robust Uniform Exact Differentiators for FCHEV energy management. To optimally tune DSMC parameters, reduce chattering, and address the limitations of conventional methods, a hybrid metaheuristic framework is proposed. …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…The formation mechanism, spatio-temporal heterogeneous driving effect and scale response law of LER in highly urbanized areas still need to be systematically explored.MethodsUtilizing multi-source data spanning the period from 1995 to 2020, including Landsat TM/ETM imagery, digital elevation model (DEM) and NASA datasets, this research focuses on exploring the characteristics of spatio-temporal variability of LER and corresponding drivers in Suzhou at the optimal scale, utilizing the LER evaluation model and the geographically and temporally weighted regression (GTWR) framework.Results1) The landscape pattern of Suzhou City is scale-dependent, with significant variations in the landscape pattern index for each land type at the optimal scale. …”
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A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources by Nikolaos Savvopoulos, Nikos Hatziargyriou, Hannu Laaksonen

“…This paper presents a novel optimization-based method to estimate the time-dependent flexibility at a primary distribution substation while accounting for the uncertainty of renewable generation. …”
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Data-Driven Multi-Scale Channel-Aligned Transformer for Low-Carbon Autonomous Vessel Operations: Enhancing CO₂ Emission Prediction and Green Autonomous Shipping Efficien... by Jiahao Ni, Hongjun Tian, Kaijie Zhang, Yihong Xue, Yang Xiong

“…The accurate prediction of autonomous vessel CO₂ emissions is critical for achieving IMO 2050 carbon neutrality and optimizing low-carbon maritime operations. Traditional models face limitations in real-time multi-source data analysis and dynamic cross-variable dependency modeling, hindering data-driven decision-making for sustainable autonomous shipping. …”
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On the issue of emergency medical service transportation support: relevance and research directions by Igor M. Chelyshkov, Artem I. Zhukov, Ivan A. Asmanov

“…The study proposes research directions and development approaches to enhance EMS efficiency, including differentiated optimization strategies based on service type (emergency vs. urgent care), queuing theory applications, station location optimization, advanced routing and dispatching methods, and artificial intelligence/neural network implementations. …”
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Geometric Accuracy Design and Tolerance Allocation of Precision Horizontal Machining Centers by Lina Wang, Xingxing Liu, Wenjie Tian, Dawei Zhang

“…This paper conducts a comprehensive investigation into the tolerance optimization allocation method for geometric accuracy in precision horizontal machining centers utilizing interval theory. …”
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Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…The primary factors influencing spatial differentiation in the quality of human settlement environment are analyzed based on results obtained from both single-factor detection and interactive detection methods.ResultsThe spatial differentiation in the quality of human settlement environment in the Kuye River Basin is characterized by “local core agglomeration, and descending in all directions along the main river channel”, and the potential of optimizing the quality of human settlement environment in each sub-basin is very different. …”
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

“…The proposed SHM method utilizes time-, spectral-, and polarization-domain features from inter-subpulse and intra-subpulse sources to convey information. …”
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Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

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