… field and artificial intelligence-based transmission line protection system for smart grid is …
Bayesian regularization neural network is used as an intelligence technique. Instead of …

… Technologies (IT), Artificial Intelligence (AI) and distributed … a short review about the smart
grids. Its concepts, advantages… Then we presented control methods of DR on smart grids. In …

… data about the grid, particularly from installed smart meters, machine learning algorithms can
obtain … This thesis focuses on the development of machine learning-based tools that help …

… These adaptive mechanisms include those bio-inspired and artificial intelligence paradigms
that exhibit an ability to learn or adapt to new situations, to generalize, abstract, discover …

… smart grid. The paper also presents the challenges and opportunities brought by the advent
of machine learning and big data from smart grids. … There are different artificial intelligence-…

… This article supports adding value streams to existing smart grids, focusing on the untapped
potential of innovative services and market mechanisms and enhancing efficiency through …

… popularly termed as smart grid (SG) systems [1]. With the advent of smart meters and
advanced metering … Since the last decade, artificial intelligence (AI)-based methods involving …

… this evolution will require new smart grid control infrastructure. … into the grid, and leveraging
innovative smart grid information … smart grid technologies emerge [6]. Microgrids, unlike …

… [29] AM Kosek, “Contextual anomaly detection for cyber-physical security in smart grids
based on an artificial neural network model,” in 2016 Joint Workshop on Cyber-physical Security …

… Cross-validation experiments and performance evaluation measures show that this technology
… of a smart grid. Then we introduce the application of hybrid artificial intelligence in V2G …