Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems by Lingaraj K, Rashmi Laxmikant Malghan, KarthiK Rao M C, Lalit Garg

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BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics by Aojie Shen, Jie Shao, Xin Qi, Zhongzheng Zhu, Yujie Dai, Qi Zeng

“…In this study, we developed the Combining Optimal BRDF Archetype with Spectral Characteristics (COBASC) method to effectively reduce BRDF effects in Landsat directional reflectance data. …”
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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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Optimal Configuration and Economic Study of Hybrid Energy Storage System in Wind and Solar Power Plants by Yongqian LIU, Chao LIANG, Jie YAN, Jing ZHANG

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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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Multi-layer Embedded Optimization of Microgrid Capacity Considering Price and Incentive/Compensation Coupling Mechanism by Xianhui ZHU, Xu HU, Nan SHI, Yao ZHANG, Jingwen ZHONG

“…This study proposes a collaborative optimization idea of source and load sides by combining multiple response mechanisms to fully tap the ability of two-way interaction between supply and demand sides to stabilize the difference between source and load in the microgrid. …”
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Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization by Wei Wang, Peng Chen, Guorui Ren, Jizhen Liu, Fang Fang, Zhe Chen

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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Accurate and reliable estimation of the state of health (SOH) of lithium-ion batteries is crucial for ensuring safety and preventing potential failures of power sources in electric vehicles. However, current data-driven SOH estimation methods face challenges related to adaptiveness and interpretability. …”
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Two-Stage Robust Optimization Model for Fresh Cold Chain considering Carbon Emissions and Uncertainty by Deqiang Qu, Zhong Wu

“…Therefore, this paper constructs a two-stage robust optimization (TSRO) model using data-driven method and robust optimization theory and verifies the validity of this model through an actual case. …”
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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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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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A Mathematical Programming Approach for Joint Optimization of Wind Farm Layout and Cable Routing Based on a Three‐Dimensional Gaussian Wake Model by Ziwei Cao, Longwen Chen, Ke Li, Guoqing Huang, Ruili Liu

“…ABSTRACT Wind energy is currently one of the most promising alternative energy sources. The optimization of the wind farm layout and the cable layout are two important elements in the design of wind farms. …”
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Optimal Distribution Planning of Solar Plants and Storage in a Power Grid with High Penetration of Renewables by Pere Colet, Benjamín A. Carreras, José Miguel Reynolds-Barredo, Damià Gomila

“…This study introduces an approach to optimize the placement of solar plants and allocation of storage in grids with high share of these variable energy sources by using a simulation framework that captures system-wide emergent behaviors. …”
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Optimization of grain import market layout in the context of food security: a study of soybean in China by Xiaonan Wang, Yi Lu

“…IntroductionMajor food-importing countries are characterized by highly concentrated import sources, which easily exposes them to risks of food supply shortages due to over-reliance on a limited number of source countries.MethodsUsing China’s soybean imports as a case study, this study proposes a novel analytical framework that specifically addresses the unique characteristics of agricultural products. …”
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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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Optimizing Civics Learning in High School through the Use of Print Books and Online Learning Resources by Jessica Wijaya, Nuraini Asriati

“…The results of the study showed that teachers can optimally improve Civics learning in high school by integrating printed books and online learning resources by first understanding in depth the Civics curriculum in high school, then making lesson plans that combine printed books and online learning resources and Learning Management System (LMS), applying project-based learning methods, giving online assignments related to printed book materials, fostering students' digital literacy to find accurate and reliable learning sources, using multimedia such as learning videos from YouTube and implementing simulations. …”
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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

“…In independent renewable energy systems (RESs), one of the primary concerns needing to be addressed is the maintaining of power balances between supplies and requirements that are cost-optimized in residences linked to these systems. The amount of power generated through RESs has substantially risen, with solar and wind being the two primary sources in RESs. …”
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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

“…Comprehensive evaluations demonstrate that TCN M outperforms both existing deep learning methods and official meteorological forecasts across multiple metrics. …”
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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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