A new sliding mode control strategy to improve active power management in a laboratory scale microgrid by Oscar Gonzales-Zurita, Jean-Michel Clairand, Guillermo Escrivá-Escrivá

“…This method ensures global optimum optimization of the SMC-2 control parameters. …”
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A Bi-Level Demand Response Framework Based on Customer Directrix Load for Power Systems with High Renewable Integration by Weimin Xi, Qian Chen, Haihua Xu, Qingshan Xu

“…The growing integration of renewable energy sources (RESs) into modern power systems calls for enhanced flexibility and control mechanisms. …”
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Personalized-Template-Guided Intelligent Evolutionary Algorithm by Dongni Hu, Xuming Han, Minghan Gao, Yali Chu, Ting Zhou

“…Existing heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of the algorithm. …”
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Electric network topology and method of transmission of electric energy by N. I. Smolentsev, L. M. Chetoshnikova

“…To achieve this goal, a multilevel topology of the electrical network and an asynchronous method for transferring electrical energy between nodes including a load, energy sources, energy storage devices connected in an appropriate manner are proposed. …”
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Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province by Qiu Shi, Yu Qiang, Yang Linzhe, Ma Jun, Wang Ge, Yue Depeng

“…[Methods] By combining the land desertification sensitivity index with ecological networks, nodes in areas with higher sensitivity were selected and optimized by increasing the edges through degree centrality and betweenees centrality analysis. …”
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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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PROBLEM OF OPTIMIZATION OF ENTERPRISE FINANCIAL STREAMS: URGENCY UNDER ECONOMIC CRISIS CONDITIONS by J. E. Gorbach, S. M. Kozlov

“…The paper presents for the first time «Combined optimization model». In order to develop the model the most commonly applied methods have been used, namely: an optimization  method on the basis of an average capital price, an optimization method on the basis of financial leverage effect and an optimization method on the basis of the average managing subject price. …”
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Automatic evaluation and optimization of map registration based on feature overlap area ratio by Jiqiu Deng, Xiaoyan Chen, Dong Zhang

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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Optimization of Electricity Consumption-Associated Costs in a Medium-Sized Logistics Company by Martins Tisenkopfs, Leo Jansons, Ineta Geipele, Sanda Lapuke, Andris Backurs

“…During the research, mixed-type approaches combining qualitative and quantitative research methods and data analysis were employed, where the quantitative methods helped to analyze the company’s electricity consumption and cost changes in different time periods, while the qualitative methods were used in a literature review. …”
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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…This optimized “green” method provides an effective alternative for BPA detection in a challenging matrix, e.g., milk. …”
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Performance Evaluation of Hybrid System (PV/ Wind/ Battery) Integrated with Smart Grids by Ahmed Yahia Yaseen

“…Although the Perturb and Observe method is suggested for wind turbines and photovoltaic systems to generate maximum power output, the Particle Swarm Optimization strategy may generate powerful efficiencies, as explained in this study. …”
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Combined Allocation of Renewable-Based Distributed Generators and Shunt Capacitor Banks in Distribution Networks with Electric Vehicle Load Penetration by Abhilasha Pawar, Rajkumar Viral, Divya Asija, Mohit Bansal

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Optimizing public health management with predictive analytics: leveraging the power of random forest by Hongman Wang, Yifan Song, Yifan Song, Hua Bi

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Optimal sizing, techno-economic, and environmental assessment of hybrid renewable energy systems by Mohammad Reza Gharib, Amir Mohammadbeigi

“…The paper presents a hybrid power generating system for the University of Torbat Heydarieh in Iran, integrating renewable energy sources, electric batteries, and a diesel generator to minimize Total Annual Costs (TAC) and Total Carbon Dioxide Emissions (TECO2). …”
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Optimization of the road bump and pothole detection technology using convolutional neural network by Ding Haiping, Tang Qianlong

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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data by Y. Liu, S. Liang, R. Guo, W. Wang, D. Ma, Y. Zheng, L. Zhang, Q. Liu, X. Li

“…To address these issues, this paper employs the Gaussian Mixture Model (GMM) clustering method and integrates multi-source geographical big data to quantitatively characterize land use efficiency. …”
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Optimized Operation Design of Integrated Energy System with Wind Power Hydrogen Production by Mengjie GUO, Zheng YAN, Yun ZHOU, Peichao ZHANG

“…This paper considers the application of wind power hydrogen production equipment in integrated energy system, discusses different control methods of hydrogen production equipment, and proposes an integrated energy system optimization model for electric hydrogen production equipment. …”
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Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm by A.M. Nassef, H.E. Ghadbane, E.T. Sayed, H. Rezk

“…Implementing an energy management strategy to enhance the performance of fuel cell electric vehicles by optimizing the allocation of power among different energy sources is a crucial engineering problem. …”
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Mapping cropland in Yunnan Province during 1990–2020 using multi-source remote sensing data with the Google Earth Engine Platform by Meiqi Wang, Liang Huang, Bo-Hui Tang, You Yu, Zixuan Zhang, Qiang Wu, Jiapei Cheng

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