An Optimized Framework of the Integrated Renewable Energy and Power Quality Model for the Smart Grid by Naveen Kumar, Gopal Singh, Hailemichael Kebede

“…In this study, the real-time algorithm put forward in this research is based on a strategy that satisfies the load optimization requirement and achieves dynamic compensation for unpredictable changes in renewable energy power generation. …”
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A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use by Yuqian Zhang, Yunhe Yin, Mijia Yin, Xufang Zhang

“…By integrating remote sensing land use data, population density maps, reanalysis meteorological data, geospatial information on thermal power plants and micro-level survey data from industrial enterprises, we developed a downscaling algorithm incorporating multiple covariates. This algorithm disaggregates provincial annual water use data to monthly grid cells at a 0.1° × 0.1° resolution, enhancing the spatial detail and seasonal distribution of water use across China. …”
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Grid structure optimization using slow coherency theory and holomorphic embedding method by Fei Tang, Mo Chen, Yuhan Guo, Jinzhou Sun, Xiaoqing Wei, Jiaquan Yang, Xuehao He

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Lightweight and delay-aware resource management scheme in smart grid IoT networks by Danni Liu, Shengda Wang, Xiaofu Sun, Chunyan An, Weijia Su, Jiakang Liu

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Utilizing Cell Transmission Models to Alleviate Accident-Induced Traffic Congestion in Two-Way Grid Networks by Yi-Sheng Huang, Yi-Shun Weng, Chun-Yu Shih

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Adaptive Grid Generation by Solving One-Dimensional Diffusion Equation Using Physics-Informed Neural Networks by Olzhas Turar, Maksat Mustafin, Darkhan Akhmed-Zaki

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Enhancing the performance of grid-connected DFIG systems using prescribed convergence law by Hichem Itouchene, Fayssal Amrane, Zoubir Boudries, Saad Mekhilef, Habib Benbouhenni, Nicu Bizon

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Large-Scale Point Cloud Semantic Segmentation with Density-Based Grid Decimation by Liangcun Jiang, Jiacheng Ma, Han Zhou, Boyi Shangguan, Hongyu Xiao, Zeqiang Chen

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Research on Business Operation Mode of Hydrogen Integrated Energy System Based on NSGA-II and Entropy Weight Method by Tong FANG, Dongfang JIANG, Yang YANG, Tiejiang YUAN

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Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics by Arturs Simkuns, Rodions Saltanovs, Maksims Ivanovs, Roberts Kadikis

“…This paper first provides an overview of recent research on grid cell-based navigation in robotics, focusing on deep learning models and algorithms capable of handling uncertainty and dynamic environments. …”
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Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection by S. V. Kochergin, S. V. Artemova, A. A. Bakaev, E. S. Mityakov, Zh. G. Vegera, E. A. Maksimova

“…K-means and One-Class SVMs are less effective in detecting abrupt anomalies but are useful for general clustering of data and detecting both abrupt and smooth changes, respectively.Conclusions. The obtained research results indicate the advantages of using a combination of machine learning algorithms to ensure the reliable protection of smart networks from cyberattacks taking into account the nature of the electrical load.…”
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Decentralized energy trading in smart grid using secured post quantum encryption by S. Sofana Reka, Anantharaman Prasad, Prakash Venugopal, Fawaaz Sammil, Visakh Pradeep, Swaroop S Kaimal, Manoj Kumar Rajagopal

“…We explore post-quantum cryptographic techniques, particularly lattice-based algorithms due to its compact signature sizes and strong security capability for the future-proof blockchain enabled smart grids. …”
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Levenberg-Marquardt Algorithm-Based Neural Network Smart Control Strategy for a Low-Input Current Ripple and High-Voltage Gain Power Converter in Fuel-Cells Energy Systems by Mustafa Ozden, Davut Ertekin, Pierluigi Siano

“…The control process of this proposed converter is executed using an artificial neural network based on the Levenberg-Marquardt learning algorithm. The primary difference in this research lies in obtaining the artificial neural network-based controller directly from the circuit’s characteristic equations, rather than generating it through another controller. …”
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Research on Methods for Converting Controllable Loads of Household Appliances Into Intelligent Loads in the Ubiquitous Power Internet of Things by Qinchun HE, Xiuyuan YANG

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Optimized ANN Model for Predicting Buckling Strength of Metallic Aerospace Panels Under Compressive Loading by Shahrukh Khan, Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Gyula Varga

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Customer active power consumption prediction for the next day based on historical profile by Ahmad A. Goudah, Mohamed El-Habrouk, Dieter Schramm, Yasser G. Dessouky

“…</p><p>Index Terms—Smart Grids, Load Forecasting, Consumption Prediction, Long Short Term Memory (LSTM), Logistic Regression Algorithm, Load Profile, Electrical Consumption.…”
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Adaptive VSG Control Strategy of Sending End for Large-Scale Renewable Energy Connected to Weakly-Synchronized Support VSC-HVDC System by Zimin ZHU, Jinfang ZHANG, Qing CHANG, Zhuan ZHOU, Xiaolin ZHANG

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A Novel Multiobjective Optimization Approach for EV Charging and Vehicle-to-Grid Scheduling Strategy by Muhammad Aurangzeb, Yifei Wang, Sheeraz Iqbal, Md Shafiullah, Sultan Alghamdi, Zahid Ullah

“…In this study, we proposed a novel multiobjective optimization technique for electric vehicles’ (EVs) charging and vehicle-to-grid (V2G) scheduling. The ring seal search (RSS) algorithm ensures the optimum compatibility of the EV charging and discharging profiles revolving around multiple objectives, such as cost of charging, peak load demand reduction, and grid stability. …”
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A Comprehensive Approach to Synthetic Distribution Grid Generation: Erdős–Rényi to Barabási-Albert by Mohammad Shahraeini

“…In this extended study, the focus is on advancing the generation of synthetic distribution grids (SDGs) through the introduction of a new algorithm based on the Barabási-Albert random graph model. …”
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Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme by Mohammed Ashraf Ali, Ahmad H. Besheer, Hassan M. Emara, Ahmed Bahgat

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