Edge Computing in Power IoT Security and Intelligent Monitoring

[1] Bedi, G., Venayagamoorthy, G. K., Singh, R., Brooks, R. R., & Wang, K. C. (2018). Review of Internet of Things (IoT) in electric power and energy systems. IEEE Internet of Things Journal, 5(2), 847-870. Search in Google Scholar

[2] Ageed, Z. S., Zeebaree, S. R., Sadeeq, M. A., Abdulrazzaq, M. B., Salim, B. W., Salih, A. A., ... & Ahmed, A. M. (2021). A state of art survey for intelligent energy monitoring systems. Asian Journal of Research in Computer Science, 8(1), 46-61. Search in Google Scholar

[3] Abir, S. A. A., Anwar, A., Choi, J., & Kayes, A. S. M. (2021). Iot-enabled smart energy grid: Applications and challenges. IEEE access, 9, 50961-50981. Search in Google Scholar

[4] Morello, R., De Capua, C., Fulco, G., & Mukhopadhyay, S. C. (2017). A smart power meter to monitor energy flow in smart grids: The role of advanced sensing and IoT in the electric grid of the future. IEEE Sensors Journal, 17(23), 7828-7837. Search in Google Scholar

[5] Lulla, G., Kumar, A., Pole, G., & Deshmukh, G. (2021, March). IoT based smart security and surveillance system. In 2021 international conference on emerging smart computing and informatics (ESCI) (pp. 385-390). IEEE. Search in Google Scholar

[6] Elsisi, M., Tran, M. Q., Mahmoud, K., Mansour, D. E. A., Lehtonen, M., & Darwish, M. M. (2022). Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties. Measurement, 190, 110686. Search in Google Scholar

[7] Babar, M., Tariq, M. U., & Jan, M. A. (2020). Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid. Sustainable Cities and Society, 62, 102370. Search in Google Scholar

[8] Karthick, T., & Chandrasekaran, K. (2021). Design of IoT based smart compact energy meter for monitoring and controlling the usage of energy and power quality issues with demand side management for a commercial building. Sustainable Energy, Grids and Networks, 26, 100454. Search in Google Scholar

[9] Al-Turjman, F., & Lemayian, J. P. (2020). Intelligence, security, and vehicular sensor networks in internet of things (IoT)-enabled smart-cities: An overview. Computers & Electrical Engineering, 87, 106776. Search in Google Scholar

[10] Goudarzi, A., Ghayoor, F., Waseem, M., Fahad, S., & Traore, I. (2022). A survey on IoT-enabled smart grids: emerging, applications, challenges, and outlook. Energies, 15(19), 6984. Search in Google Scholar

[11] Elsisi, M., Mahmoud, K., Lehtonen, M., & Darwish, M. M. (2021). Reliable industry 4.0 based on machine learning and IOT for analyzing, monitoring, and securing smart meters. Sensors, 21(2), 487. Search in Google Scholar

[12] Abate, F., Carratù, M., Liguori, C., & Paciello, V. (2019). A low cost smart power meter for IoT. Measurement, 136, 59-66. Search in Google Scholar

[13] Bagdadee, A. H., Hoque, M. Z., & Zhang, L. (2020). IoT based wireless sensor network for power quality control in smart grid. Procedia computer science, 167, 1148-1160. Search in Google Scholar

[14] Chen, S., Wen, H., Wu, J., Lei, W., Hou, W., Liu, W., ... & Jiang, Y. (2019). Internet of things based smart grids supported by intelligent edge computing. IEEE access, 7, 74089-74102. Search in Google Scholar

[15] Al-Turjman, F., & Abujubbeh, M. (2019). IoT-enabled smart grid via SM: An overview. Future generation computer systems, 96, 579-590. Search in Google Scholar

[16] Li, F., Shi, Y., Shinde, A., Ye, J., & Song, W. (2019). Enhanced cyber-physical security in internet of things through energy auditing. IEEE Internet of Things Journal, 6(3), 5224-5231. Search in Google Scholar

[17] Julie Funch Furberg,Per Kragh Andersen,Thomas Scheike & Henrik Ravn. (2024). Simulation-based sample size calculations of marginal proportional means models for recurrent events with competing risks. Pharmaceutical statistics Search in Google Scholar

[18] Seyed Amir Mohammad Lahaghi & Ehsan Azad Farsani. (2024). A risk-averse approach for distribution locational marginal price calculation in electrical distribution networks. Energy130383-. Search in Google Scholar

[19] Congyue Zhou,Zhu Wang,Xuanli Wang,Rui Guo,Zhao Zhang,Xingwei Xiang & Yiqun Wu. (2024). Deciphering the nonlinear and synergistic role of building energy variables in shaping carbon emissions: A LightGBM- SHAP framework in office buildings. Building and Environment112035-112035. Search in Google Scholar