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A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Recent advancements in data science and artificial intelligence, as well as the development
of clean and sustainable energy sources, have created numerous opportunities for energy …
of clean and sustainable energy sources, have created numerous opportunities for energy …
Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11
Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …
sustainability, and good governance among cities. These benefits can support cities in …
Deep learning for cybersecurity in smart grids: Review and perspectives
Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered
significant attention in recent years. The application of artificial intelligence, particularly deep …
significant attention in recent years. The application of artificial intelligence, particularly deep …
When smart cities get smarter via machine learning: An in-depth literature review
The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …
machine learning methods in the emerging applications of the smart cities. Application …
A cyber-secure generalized supermodel for wind power forecasting based on deep federated learning and image processing
Accurate wind power forecasting is one of the most important operations within the
economic dispatch problem to increase the performance of power and energy systems …
economic dispatch problem to increase the performance of power and energy systems …
Cyber resilience in renewable microgrids: A review of standards, challenges, and solutions
Increasing penetration of power electronic-based renewable energy generation resources,
decreasing total rotational inertia, and bidirectional power flow have changed the concept of …
decreasing total rotational inertia, and bidirectional power flow have changed the concept of …
A novel energy management framework incorporating multi‐carrier energy hub for smart city
The development of advanced and intelligent measurement instruments in recent years has
increased the intelligence of modern energy systems, especially power systems. Besides …
increased the intelligence of modern energy systems, especially power systems. Besides …
Security risk models against attacks in smart grid using big data and artificial intelligence
The need to update the electrical infrastructure led directly to the idea of smart grids (SG).
Modern security technologies are almost perfect for detecting and preventing numerous …
Modern security technologies are almost perfect for detecting and preventing numerous …
Energy conservation of smart grid system using voltage reduction technique and its challenges
Energy conservation has become crucial due to the present energy crisis in the world. To
resolve such crises and reduce peak hours' electricity demand, the conservation voltage …
resolve such crises and reduce peak hours' electricity demand, the conservation voltage …