[HTML][HTML] Artificial intelligence-based solutions for climate change: a review
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …
systems, and inducing global economic losses of over $500 billion. These issues may be …
How machine learning changes the nature of cyberattacks on IoT networks: A survey
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …
life in recent years. However, this development does not only present advantages. Indeed …
[HTML][HTML] Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The
current security tools are almost perfect when it comes to identifying and preventing known …
current security tools are almost perfect when it comes to identifying and preventing known …
[HTML][HTML] Smart energy management system: design of a monitoring and peak load forecasting system for an experimental open-pit mine
Digitization in the mining industry and machine learning applications have improved the
production by showing insights in different components. Energy consumption is one of the …
production by showing insights in different components. Energy consumption is one of the …
A review on cybersecurity analysis, attack detection, and attack defense methods in cyber-physical power systems
D Du, M Zhu, X Li, M Fei, S Bu, L Wu… - Journal of Modern …, 2022 - ieeexplore.ieee.org
Potential malicious cyber-attacks to power systems which are connected to a wide range of
stakeholders from the top to tail will impose significant societal risks and challenges. The …
stakeholders from the top to tail will impose significant societal risks and challenges. The …
AI-oriented smart power system transient stability: the rationality, applications, challenges and future opportunities
Nowadays, the power grid has become an active colossal resource generation and
management system due to the wide use of renewable energy and dynamic workloads …
management system due to the wide use of renewable energy and dynamic workloads …
[HTML][HTML] Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective
Research simulations and real-life pilots tested many different Local Electricity Market (LEM)
applications and methods and have demonstrated that LEMs can solve problems in the …
applications and methods and have demonstrated that LEMs can solve problems in the …
Smart grid security and privacy: From conventional to machine learning issues (threats and countermeasures)
PH Mirzaee, M Shojafar, H Cruickshank… - IEEE access, 2022 - ieeexplore.ieee.org
Smart Grid (SG) is the revolutionised power network characterised by a bidirectional flow of
energy and information between customers and suppliers. The integration of power …
energy and information between customers and suppliers. The integration of power …
[HTML][HTML] Electric power network interconnection: A review on current status, future prospects and research direction
An interconnection of electric power networks enables decarbonization of the electricity
system by harnessing and sharing large amounts of renewable energy. The highest …
system by harnessing and sharing large amounts of renewable energy. The highest …
[HTML][HTML] Multi-layer defense algorithm against deep reinforcement learning-based intruders in smart grids
Abstract The Internet of Energy envisions the next generation of smart grids as a highly
interconnected network, including advanced metering infrastructures, distributed energy …
interconnected network, including advanced metering infrastructures, distributed energy …