A review on data-driven security assessment of power systems: Trends and applications of artificial intelligence
Boosting the complexity of the electricity network, penetration of renewable resources, and
modernization of power systems has resulted in an increase in the complexity of the power …
modernization of power systems has resulted in an increase in the complexity of the power …
A review of artificial intelligence to enhance the security of big data systems: state-of-art, methodologies, applications, and challenges
D Dai, S Boroomand - Archives of Computational Methods in Engineering, 2022 - Springer
Technological advancements modernize the way we live with the changes made both
globally and nationwide. These technological improvements also cause adverse effects in …
globally and nationwide. These technological improvements also cause adverse effects in …
On machine learning-based techniques for future sustainable and resilient energy systems
Permanently increasing penetration of converter-interfaced generation and renewable
energy sources (RESs) makes modern electrical power systems more vulnerable to low …
energy sources (RESs) makes modern electrical power systems more vulnerable to low …
Ensuring cybersecurity of smart grid against data integrity attacks under concept drift
For achieving increasing artificial intelligence in future smart grids, a very precise state
estimation (SE) is required as a prerequisite for many other key functionalities for successful …
estimation (SE) is required as a prerequisite for many other key functionalities for successful …
Verification of neural network behaviour: Formal guarantees for power system applications
A Venzke, S Chatzivasileiadis - IEEE Transactions on Smart …, 2020 - ieeexplore.ieee.org
This paper presents for the first time, to our knowledge, a framework for verifying neural
network behavior in power system applications. Up to this moment, neural networks have …
network behavior in power system applications. Up to this moment, neural networks have …
Achieving 100x acceleration for N-1 contingency screening with uncertain scenarios using deep convolutional neural network
The increasing penetration of renewable energy makes the traditional N-1 contingency
screening highly challenging when a large number of uncertain scenarios need to be …
screening highly challenging when a large number of uncertain scenarios need to be …
From AlphaGo to power system AI: What engineers can learn from solving the most complex board game
F Li, Y Du - IEEE Power and Energy Magazine, 2018 - ieeexplore.ieee.org
Since its early development in the 1950s, artificial intelligence (AI) has been studied to
mimic the function of human brains in solving science and engineering problems. Despite …
mimic the function of human brains in solving science and engineering problems. Despite …
The role of convolutional neural networks in scanning probe microscopy: a review
I Azuri, I Rosenhek-Goldian… - Beilstein journal of …, 2021 - beilstein-journals.org
Progress in computing capabilities has enhanced science in many ways. In recent years,
various branches of machine learning have been the key facilitators in forging new paths …
various branches of machine learning have been the key facilitators in forging new paths …
Enhanced-online-random-forest model for static voltage stability assessment using wide area measurements
HY Su, TY Liu - IEEE Transactions on Power Systems, 2018 - ieeexplore.ieee.org
Application of data mining based methods in online voltage stability assessment has
attracted vast attentions in recent years. To account for significant system changes, most of …
attracted vast attentions in recent years. To account for significant system changes, most of …
Static security assessment of power systems: A review
The security assessment, based on which determinant decisions should be made for power
system design, control and operation, is a challenging issue for utility engineers and network …
system design, control and operation, is a challenging issue for utility engineers and network …