… The revolutionary Artificial Intelligence (AI) enables the industrial revolution to provide a …
smart grid timing issues. The backpropagation neural network is applied as the AI method that …

… solutions developed for detecting anomalies in Smart Grids (SGs). Specifically, it focuses on
those solutions that employ artificial intelligence techniques or approaches. The objective is …

… A literature review is used in this article to explore various security modeling techniques
and their applicability in smart grid security [41]. The CORAS method for security risk analysis …

… smart grid are extremely complex, particularly if the grid is large. Currently, with the present
status of technology, … have a clear understanding of the control strategy for a future smart grid. …

… This paper discusses the importance of AI and its usage technique in smart grids in
energy … Artificial intelligence techniques in smart grid and renewable energy systems—some …

… grid energy services listed in Section 4. With the objective of accelerating the development
and deployment of the Smart Grid, a significant amount of sensor devices … of the grid, thus …

… UWB is suitable for real-time localization in smart grid because UWB has short radio … smart
grid fields, a comprehensive framework integrating several artificial intelligence techniques, …

… inserted in smart grids, aiming to reduce the electricity cost for the consumer, as well as
contribute with the postponement of investment needs in expansion of the electric grid if the …

… the existing literature in each smart grid technology according to the computational intelligence
tool. The popular … Zhou, “Artificial neural network for load forecasting in smart grid,” in …

… machine learning … neural network (CNN) for load forecasting in a smart grid. The researchers
in this study combine conventional machine learning methods and deep learning technique …