Optimizing UI/UX of AIMsCORE Application with Design Thinking to Enhance User Interaction and Engagement by Jannatunnisa, Abdul Rahim, Sayekti Harits Suryawan

“…This method strengthens data credibility and informs problem-based solution design. …”
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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

“…This study introduces an improvised Particle Swarm Optimization with Backtracking Search Optimization (PSOBSA) designed for feature extraction. …”
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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
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Weighted Particle Swarm Optimization Algorithms and Power Management Strategies for Grid Hybrid Energy Systems by Udayakumar Ramanathan, Sugumar Rajendran

“…This paper introduces the weighted particle swarm optimization (WPSO) method for controlling energy systems and grid hybrid energy systems that comprise photovoltaic (PV), wind turbine, batteries, and diesel generators. …”
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Dual Adaptive Filtering by Optimal Projection Applied to Filter Muscle Artifacts on EEG and Comparative Study by Samuel Boudet, Laurent Peyrodie, William Szurhaj, Nicolas Bolo, Antonio Pinti, Philippe Gallois

“…DAFOP is a two-step method. The first step consists in applying the common spatial pattern (CSP) method to two frequency windows to identify the slowest components which will be considered as cerebral sources. …”
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Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory by Peng Liu, Tieyan Zhang, Furui Tian, Yun Teng, Miaodong Yang

“…The weighted aggregated sum product assessment (WASPAS) method is then used to rank potential solutions. The hybrid scheduling alternative, combining distributed and centralized solutions, stands out as the best alternative, significantly improving resource optimization and system resilience. …”
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Fault detection and diagnosis method for heterogeneous wireless network based on GAN by Xiaorong ZHU, Peipei ZHANG

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Management of large energy storage power plants: optimization of charging and discharging with cuckoo search algorithm by Behnam Motalebinejad, Majid Hosseina, Mojtaba Vahedi, Mahmoud Samiei Moghaddam

“…Furthermore, the use of the advanced Fakete search algorithm is employed as a powerful and efficient method for solving the proposed model. This algorithm has the capability to find global optimal solutions and can significantly improve the efficiency and profitability of large-scale energy storage facilities. …”
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Optimization of a Nuclear–CSP Hybrid Energy System Through Multi-Objective Evolutionary Algorithms by Chenxiao Ji, Xueying Nie, Shichao Chen, Maosong Cheng, Zhimin Dai

“…The criteria importance through inter-criteria correlation (CRITIC) method and the technique for order preference by similarity to ideal solution (TOPSIS) are utilized to derive the optimal compromise solution. …”
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Research on an optimal scheduling strategy for a virtual power plant participating in primary frequency regulation by HUANG Canbing, XIONG Ni, WU Wei, LIU Shijian, ZHANG Qiao, YANG Xiyun

“…In response， this paper proposes an optimal scheduling strategy for the VPP using the improved multi-objective particle swarm optimization （MOPSO） and an integral power assessment method for primary frequency regulation. …”
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Fault detection and diagnosis method for heterogeneous wireless network based on GAN by Xiaorong ZHU, Peipei ZHANG

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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources by M. Wajahat Hassan, Thamer Alquthami, Ahmad H. Milyani, Ashfaq Ahmad, Muhammad Babar Rasheed

“…However, recent studies based on the uncertainty and worst-case scenario-oriented robust optimization methodology reveal the perplexities associated with renewable energy sources (RES). …”
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Prospects of Improving the Vibroacoustic Method for Locating Buried Non-Metallic Pipelines by Vladimir Pshenin, Alexander Sleptsov, Leonid Dukhnevich

“…However, due to limited energy input into the pipeline, signal detection at significant distances from the source becomes challenging. This article considers the mechanism of acoustic oscillations attenuation in pipes and suggests possible directions for optimization of the investigated technology. …”
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Study on the peak shaving operation of cascade hydropower stations based on the plant-wide optimal curve by Fengshuo Liu, Kui Huang, Xuanyu Shi, Longqing Zhao, Yangxin Yu, Xueshan Ai, Xiang Fu

“…This study proposes a novel method to enhance RES and hydropower utilization through: 1) Establishing a plant-wide optimal output-water level-outflow relationship curve based on the output-head-flow relationship and the flow-head loss and outflow-tailwater level relationship curves for each unit; 2) Developing a short-term peak shaving model for cascaded hydropower stations that incorporates wind and PV power which defines minimum coefficient of variation of residual load as objective functions, and improving discrete differential dynamic programming successive approximation (DDDPSA) method to solve it; 3) Analyzing the peak shaving capacity of the cascade hydropower station by varying water consumption for power generation. …”
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Dynamic Carbon Emission Measurement and Optimal Dispatching of Power Systems Considering Dual-Carbon Targets by Qiang Li, Feng Zhao, Laidong Zhang, Xuecheng Zhang, Juanyu Liu, Ying Chen, Xinyue Li

“…Based on the dynamic carbon emission measurement model, the study uses a method for accounting for carbon emissions that accounts for the unpredictability of grid-connected renewable energy sources like solar and wind. …”
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Design, synthesis, and optimization of a novel ternary photocatalyst for degradation of cephalexin antibiotic in aqueous solutions by Zeynab Abdeyazdan, Mohammad Rahmati, Arjomand Mehrabani-Zeinabad, Masoud Habibi Zare

“…This study, investigates the efficient removal of cephalexin (CPX) using Fe doped TiO2–Bi2O3 nanocomposite, synthesized via the simple sol–gel method as a visible active photocatalyst. The weight fraction of Fe (3–7 wt%), and Bi2O3 (7–11 wt%) was optimized. …”
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Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price by QIU Cheng, ZHAO Wanjian, LI Xincong, ZHANG Mingze, FEI Fei, PENG Haohua, ZHOU Jianqiao, SHI Gang, ZHANG Jianwen

“…Due to the high configuration cost of SOPs, the problem of their siting and capacity setting becomes the core of the problem. In the paper, an optimal SOP configuration method based on locational marginal price (LMP) is proposed. …”
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Benchmark dataset and deep learning method for global tropical cyclone forecasting by Cheng Huang, Pan Mu, Jinglin Zhang, Sixian Chan, Shiqi Zhang, Hanting Yan, Shengyong Chen, Cong Bai

“…The released resources and method can attract more researchers to the field, thereby accelerating data-driven tropical cyclone prediction research.…”
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Synthesis and Electrochemical Performance of LiMnPO4 by Hydrothermal Method by Daichi Fujimoto, Yu Lei, Zheng-Hong Huang, Feiyu Kang, Junichi Kawamura

“…LiMnPO4 with olivinestructure which is the promising candidate for high voltage cathode material was synthesized by hydrothermal method. In order to synthesize high purity and well-defined LiMnPO4, several precursors for Li, Mn, and P sources and hydrothermal reaction parameters including temperature and [H2O]/[Mn] value are optimized. …”
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Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model by Yi LEI, Mingzhen LIU, Kaimin LIN

“…The controllable heat storage electric boilers are used in this paper as peak regulation and dispatch resources, in order to reduce the forced output of CHP and get a lower load peak and a higher load valley when it's hard to regulate the peak load, and to increase the wind power accommodation capacity of power grid in winter, and to form a load-dispatching model featuring source-load coordination. The power-heat coupling characteristics of CHP units are firstly studied; and then a heat-power decoupling scheme is formulated for wind power-heat storage compensation, and a multi-objective load-dispatching model is built with the objective of minimizing both the operation cost and pollutant emission of the power system; finally, the corrected multi-objective particle swarm optimization algorithm is used to solve the model, and the diversity of the Pareto set is maintained by using niche method. …”
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