Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane by Wengang Chen, Xinrui Wang, RuiMin Tian, Yuze Ji, Helong Liu, Yafei Yuan

“…Through case studies in a Shanxi coal mine under multiple scenarios, the results validate the model's effectiveness in improving methane utilization and coordinating hybrid energy resources, with the proposed fuzzy-enhanced IGDT (F-EIGDT) method demonstrating enhanced robustness against source-load uncertainties compared to conventional approaches. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

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Impact of Shared Bus on Campus Travel and Space Optimization Based on Activity Travel Behavior by Qiong Chen, Hong Zhang, Jianbiao Wang, Hongyu Ye, Zhaoming Chu, Bixia Lou, Dawei Li

“…Finally, according to the analysis of modeling results, the impact of shared traffic on campus travel is analyzed, and the optimal design scheme of campus space is given. This paper uses the survey method based on declarative preference SP and the survey method based on explicit preference (RP) to get the actual and hypothetical travel response of travelers, which improves the data richness.…”
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OPTIMIZATION OF GRAPE PEELS PARTICLE SIZE AND FLOUR SUBSTITUTION IN WHITE WHEAT FLOUR DOUGH by SILVIA MIRONEASA, MĂDĂLINA IUGA, DUMITRU ZAHARIA, COSTEL MIRONEASA

“…This study aimed to optimize formulation factors, GPF particle size and level of flour substitution in WWF dough using response surface methodology (RSM) with a full factorial design and multiple responses optimization approach. …”
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Strategy To Increase Fee-Based Income Through Optimizing Sukuk Sales To Priority Customers by Rr Nugraheni Putri Indrayanti, Nurhidayah Nurhidayah, Harun Alrasyid

“…Using a qualitative approach with the SWOT analysis method. The results of this study indicate that optimization of sukuk sales has a significant contribution to increasing Fee Based Income (FBI) at Bank Syariah Indonesia (BSI), especially in the priority customer segment in the Malang Area. …”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…The hybridization of renewable energy sources has proven to be an innovative technological approach to ensuring energy supply in certain regions of the world. …”
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Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

“…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility by Anna Athanassi, Amaury François, Emmanuel Bourinet, Marc Thevenet, Nathalie Mandairon

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Optimization of Parameters of a Vertical Ground Heat Exchanger in a Geothermal Heating System by Walery Jezierski, Piotr Rynkowski

“…The parameters of the tested element of the geothermal heating system were also optimized according to the energy criterion using a numerical method in the Matlab environment. …”
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Post-Processing Optimization of the Global 30 m Land Cover Dynamic Monitoring Product by Zhehua Li, Xiao Zhang, Wendi Liu, Tingting Zhao, Weitao Ai, Jinqing Wang, Liangyun Liu

“…Third, certain land cover transitions between easily misclassified types were optimized using logical rules and multi-source data. …”
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Analysis and Optimization of Micro Speaker-Box Using a Passive Radiator in Portable Device by Yuan-Wu JIANG, Joong-Hak KWON, Hyung-Kyu KIM, Sang-Moon HWANG

“…The Finite Element Method (FEM), two-degree-of-freedom (DOF) vibration theory, and a plane circular piston sound source were used to study the electromagnetic, vibration, and acoustic characteristics, respectively. …”
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SCSO: snake optimization with sine-cosine algorithm for parameter extraction of solar photovoltaic models by Qingrui Li, Yongquan Zhou, Qifang Luo

“…The proposed algorithm incorporates three key improvements: (1) integration of the Sine–Cosine Algorithm to enhance the bio-inspired Snake Optimization, balancing exploration and exploitation; (2)The parameters C 1 and C 2 are adaptively adjusted, and the Newton–Raphson method is introduced to accelerate the algorithm’s convergence speed which accelerates convergence; and (3) application of a lens imaging reverse learning strategy to improve exploration capabilities and population diversity, preventing the algorithm from becoming trapped in local optima. …”
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A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…The primary objective is to minimize electricity costs while ensuring efficient use of renewable energy resources. The proposed method utilizes the Meerkat Optimization Algorithm (MOA), which is compared against other optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Teaching-Learning-Based Optimization (TLBO). …”
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Loss Analytic Calculation and Error Analysis for HVDC Converter by Biaojun LI, Quanzhou XIANG, Chuantao YAO, Qiong YU

“…The influence factors associated with loss and their weights are extracted, which provides a basis for targeted loss optimization. Considering that the nearest level control strategy is adopted for the converter valve in practical engineering, the error sources of the analytical calculation method are analyzed, and a feasible and high precision loss calculation method based on waveform data of project site is proposed.…”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…By considering data interaction and power sharing among multiple micro‐energy networks, the alternating direction method of multipliers algorithm is used to solve the system‐distributed optimization problem in two stages. …”
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Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm by Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou

“…Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. …”
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An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes by Qian Yi, Xin Wu, Junkang Zhuo, Congbo Li, Chuanjiang Li, Huajun Cao

“…In manufacturing enterprises, the variety of heat treatment processes, insufficient data in the early stages of production, and the continuous increase of samples over time make it difficult to predict and optimize carbon emissions dynamically. Therefore, this paper proposes a low-carbon optimization method for heat treatment processes based on incremental data-driven approaches. …”
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Multi-Time Scale Coordinated Optimization of Energy Systems Under Flexible Load Response by Jinfeng Gao, Daifeng Gao, Chun Xiao

“…To address these challenges, this study investigates multi-time scale collaborative optimization of energy systems based on flexible load response, utilizing a combination of qualitative and quantitative methods. …”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R2 (0.9736), lowest error rates and fitness values than other existing models and optimization methods. From the Wilcoxon and ANOVA analyses, one can approve the specificity and consistency of the findings. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Hyperparameter optimization using Bayesian methods enhances predictive performance. …”
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