A survey on IoT-enabled smart grids: emerging, applications, challenges, and outlook
Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …
considerable efforts to make the electrical grid more intelligent and responsive to …
[HTML][HTML] A review of IoT-enabled smart energy hub systems: Rising, applications, challenges, and future prospects
The 21 st century's booming population and escalating energy demands have driven
significant efforts to enhance the Energy Hub (EH). The goal is to create a more intelligent …
significant efforts to enhance the Energy Hub (EH). The goal is to create a more intelligent …
[PDF][PDF] A Review of IoT-Enabled Smart Energy Hub Systems: Rising, Applications, Challenges, and Future Prospects
R Parekh, B Sedhom, S Padmanaban, AA Eladl - 2024 - preprints.org
The 21st century's booming population and escalating energy demands have driven
significant efforts to enhance the Energy Hub (EH). The goal is to create a more intelligent …
significant efforts to enhance the Energy Hub (EH). The goal is to create a more intelligent …
[HTML][HTML] Advancements in digital twin technology and machine learning for energy systems: a comprehensive review of applications in smart grids, renewable energy …
The growing interest in Digital Twin (DT) Technology represents a significant advancement
in academic research and industrial applications. Leveraging advancements in Internet of …
in academic research and industrial applications. Leveraging advancements in Internet of …
Effect of time patterns in mining process invariants for industrial control systems: an experimental study
Machine Learning is playing a crucial role in the design of intrusion detectors for Industrial
Control Systems (ICS). Intrusion Detection Systems (IDS) rely on data obtained from an …
Control Systems (ICS). Intrusion Detection Systems (IDS) rely on data obtained from an …
[引用][C] Simulation and modeling of deep adversarial probabilistic neural network-based intrusion prevention system in cloud computing for smart grid cyber physical …
I Jasmine Selvakumari Jeya, M Ramya Devi… - … Journal of Modeling …, 2024 - World Scientific
Smart Grid Cyber Physical Systems (SG-CPS) have a substantial impact on power grid
infrastructure upgrading. Nonetheless, due to the sophisticated nature of the infrastructure …
infrastructure upgrading. Nonetheless, due to the sophisticated nature of the infrastructure …