Cross Layer Optimization and Simulation of Smart Grid Home Area Network by Lipi K. Chhaya, Paawan Sharma, Adesh Kumar, Govind Bhagwatikar

“…Smart Grid is a complex network with hierarchical architecture. …”
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Model predictive control for on–off charging of electrical vehicles in smart grids by Ye Shi, Hoang D. Tuan, Andrey V. Savkin, H. Vincent Poor

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Voltage Profile Analysis in Smart Grids Using Online Estimation Algorithm by P. Raghavendra, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Dattatraya N. Gaonkar, A. Sathoshakumar, Baseem Khan

“…This paper presents a real-time sensor-based online voltage profile estimation technique and coordinated Volt/VAR control in smart grids with distributed generator interconnection. …”
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EPPDC: An Efficient Privacy-Preserving Scheme for Data Collection in Smart Grid by Jie Chen, Junping Shi, Yueyu Zhang

“…In smart grid, the smart meters send various information to the power generators and substations. …”
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Adversarial Attack Detection in Smart Grids Using Deep Learning Architectures by Stephanie Ness

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Enhancing IoT security in smart grids with quantum-resistant hybrid encryption by Jian Xiong, Lu Shen, Yan Liu, Xiaofen Fang

“…Abstract Integrating the Internet of Things (IoT) in smart grids has revolutionized the energy sector, enabling real-time data collection and efficient energy distribution. …”
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Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices by Pedro Juan Rivera Torres, Carlos Gershenson García, María Fernanda Sánchez Puig, Samir Kanaan Izquierdo

“…In this paper, we showcase the application of a complex-adaptive, self-organizing modeling method, and Probabilistic Boolean Networks (PBNs), as a way towards the understanding of the dynamics of smart grid devices, and to model and characterize their behavior. …”
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Wireless Sensor Network Applications in Smart Grid: Recent Trends and Challenges by Yide Liu

“…Smart grid revolutionizes the current electric power infrastructure by integrating with communication and information technologies. …”
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Effect of thermal stress on the life of DC link capacitors for smart grid by Xiao-Wu Sun, Ying Qiao, Yin-Da Li, Chong-Feng Cao, Xiang-Ming Guo

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Application of IPv6 for State Grid Corporation Company Smart Grid by Biyao Huang, Jinghong Guo, Nan Quan, Yang Wang, Huixia Ding, Guojun Liu, Jie Tong, Geng Zhang, Nan Wang

Subjects: “…smart grid…”
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GridLAB-D: An Agent-Based Simulation Framework for Smart Grids by David P. Chassin, Jason C. Fuller, Ned Djilali

“…Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. …”
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Research on the Influence of Sensor Network Communication in the Electromagnetic Environment of Smart Grid by Yiying Zhang, Suxiang Zhang, Yuemin Ding

“…Smart grid adopts wildly various sensors for lots of applications to sense work environment, monitor production process and realize the automation control, and so forth. …”
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AVQS: Attack Route-Based Vulnerability Quantification Scheme for Smart Grid by Jongbin Ko, Hyunwoo Lim, Seokjun Lee, Taeshik Shon

“…A smart grid is a large, consolidated electrical grid system that includes heterogeneous networks and systems. …”
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Data-Driven Repeated-Feedback Adjustment Strategy for Smart Grid Pricing by Bingjie He, Qiaorong Dai, Aijuan Zhou, Jinxiu Xiao

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An energy conservation method for locating wireless sensor network nodes in smart grid by Chong WANG, Zeng ZENG

Subjects: “…smart grid…”
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Game-Theory-Based Approach for Energy Routing in a Smart Grid Network by June S. Hong, Mihui Kim

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RETRACTED: Possibilities and Importance of using artificial intelligence technologies in smart grid systems by Khasanov Doston, Khujamatov Halimjon, Jumanov Khakberdi, Rakhimov Abdugofur

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Designing EV Charging Energy Hubs to Meet Flexibility Requirements in Smart Grids by Walied Alfraidi, Fahad Alaql, Khalid AlMuhanna, Hassan M. Hussein Farh, Abdullrahman A. Al-Shamma’a

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A hybrid model for smart grid theft detection based on deep learning by Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG

“…A hybrid deep learning model was proposed to effectively detect electricity theft in smart grids.The hybrid model employed a deep learning convolutional neural network (AlexNet) to tackle the curse of dimensionality, significantly enhancing data processing accuracy and efficiency.It further improved classification accuracy by differentiating between normal and abnormal electricity usage using adaptive boosting (AdaBoost).To resolve the issue of class imbalance, undersampling techniques were utilized, ensuring balanced performance across various data classes.Additionally, the artificial bee colony algorithm was used to optimize hyperparameters for both AdaBoost and AlexNet, effectively boosting overall model performance.The effectiveness of this hybrid model was evaluated using real smart meter datasets from an electricity company.Compared to similar models, this hybrid model achieves accuracy, precision, recall, F1-score, Matthews correlation coefficient (MCC), and area under the curve-receiver operating characteristic curve (AUC-ROC) scores of 88%, 86%, 84%, 85%, 78%, and 91%, respectively.The proposed model not only increases the accuracy of electricity usage monitoring, but also offers a new perspective for intelligent analysis in power systems.…”
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Power unified spatial information model for smart grid dual complex network by Huihui LIU, Chengyue YANG, Lisha WU, Yiying ZHANG

Subjects: “…smart grid…”
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