The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

Stochastic configuration network (SCN), as a novel incremental generation model with
supervisory mechanism, has an excellent superiority in solving large-scale data regression …

Meteorological changes urge engineering communities to look for sustainable and clean
energy technologies to keep the environment safe by reducing CO 2 emissions. The …

Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …

In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber
security. Specifically, we present cyber security threats and evaluation metrics used in the …

Artificial neural networks are one of the most commonly used methods in machine learning.
Performance of network highly depends on the learning method. Traditional learning …

Intrusion detection is a proactive means to detect network attacks and has been a hot point
in network security. To address the curse of dimensionality and improve the Intrusion …

In recent decades, nature-inspired optimization methods have played a critical role in
hel** industrial plant designers to find superior solutions for process parameters …

In the context of rapidly urbanizing smart cities reliant on IoT networks, efficient load
management is critical for sustainable energy use. This paper proposes an AI-enhanced …