Energy grid management system with anomaly detection and Q-learning decision modules
Stability and security issues in energy management have become widespread research
topics, in which artificial intelligence techniques are often embedded in management …
topics, in which artificial intelligence techniques are often embedded in management …
A feasibility study of implementing ieee 1547 and ieee 2030 standards for microgrid in the kingdom of saudi arabia
AS Alsafran - Energies, 2023 - mdpi.com
The Kingdom of Saudi Arabia's (KSA) microgrids must make significant progress during the
next five years, since the Saudi government published the Saudi Vision 2030 and the …
next five years, since the Saudi government published the Saudi Vision 2030 and the …
Cybersecurity challenges in IoT-based smart renewable energy
Abstract The Internet of Things (IoT) makes it possible to collect data from, and issue
commands to, devices via the Internet, eliminating the need for humans in the process while …
commands to, devices via the Internet, eliminating the need for humans in the process while …
A framework for modeling and optimization of data-driven energy systems using machine learning
MSS Danish - IEEE Transactions on Artificial Intelligence, 2023 - ieeexplore.ieee.org
This research introduces an innovative framework for solar energy optimization. This
approach delves into the multifaceted layers and components of neural networks (NNs) …
approach delves into the multifaceted layers and components of neural networks (NNs) …
The mixture of probability distribution functions for wind and photovoltaic power systems using a metaheuristic method
The rising use of renewable energy sources, particularly those that are weather-dependent
like wind and solar energy, has increased the uncertainty of supply in these power systems …
like wind and solar energy, has increased the uncertainty of supply in these power systems …
A comprehensive analysis of smart grid stability prediction along with explainable artificial intelligence
F Ucar - Symmetry, 2023 - mdpi.com
As the backbone of modern society and industry, the need for a more efficient and
sustainable electrical grid is crucial for proper energy management. Governments have …
sustainable electrical grid is crucial for proper energy management. Governments have …
Artificial Intelligence in Smart city applications: An overview
BP Ashwini, RM Savithramma… - 2022 6th international …, 2022 - ieeexplore.ieee.org
Recently, the smart city has evolved as a global model and several institutions have adopted
this concept to facilitate the citizens with the comfort and quality of life exploiting the progress …
this concept to facilitate the citizens with the comfort and quality of life exploiting the progress …
Review of grid stability assessment based on AI and a new concept of converter-dominated power system state of stability assessment
Artificial intelligence (AI) has been increasingly used for power system stability assessment
due to its fast evaluation speed compared to conventional time-domain methods. This article …
due to its fast evaluation speed compared to conventional time-domain methods. This article …
Artificial Neural Network (ANN)-Based Voltage Stability Prediction of Test Microgrid Grid
The Power Grid Initiative is currently engaged in persistent endeavors to convert the
conventional power grid into a smart grid with the objective of enhancing the operation of the …
conventional power grid into a smart grid with the objective of enhancing the operation of the …
Machine learning applications in cascading failure analysis in power systems: A review
NM Sami, M Naeini - Electric Power Systems Research, 2024 - Elsevier
Cascading failures pose a significant threat to power grids and have garnered considerable
research interest in the power system domain. The inherent uncertainty and severe impact …
research interest in the power system domain. The inherent uncertainty and severe impact …