Sensors, Vol. 23, Pages 8016: Artificial Intelligence-Based Secured Power Grid Protocol for Smart City

Sensors, Vol. 23, Pages 8016: Artificial Intelligence-Based Secured Power Grid Protocol for Smart City Sensors doi: 10.3390/s23198016 Authors: Adel Sulaiman Bharathiraja Nagu Gaganpreet Kaur Pradeepa Karuppaiah Hani Alshahrani Mana Saleh Al Reshan Sultan AlYami Asadullah Shaikh Due to the modern power system’s rapid development, more scattered smart grid components are securely linked into the power system by encircling a wide electrical power network with the underpinning communication system. By enabling a wide range of applications, such as distributed energy management, system state forecasting, and cyberattack security, these components generate vast amounts of data that automate and improve the efficiency of the smart grid. Due to traditional computer technologies’ inability to handle the massive amount of data that smart grid systems generate, AI-based alternatives have received a lot of interest. Long Short-Term Memory (LSTM) and recurrent Neural Networks (RNN) will be specifically developed in this study to address this issue by incorporating the adaptively time-developing energy system’s attributes to enhance the model of the dynamic properties of contemporary Smart Grid (SG) that are impacted by Revised Encoding Scheme (RES) or system reconfiguration to differentiate LSTM changes & real-time threats. More specifically, we provide a federated instructional strategy for consumer sharing of po...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research