ICT and energy are two economic domains that became among the most
influential to the growth of modern society. These, in the same time, due to
exploitation of natural resources and producing unwanted effects to the
environment, represent a kind of menace to the eco system and the human
future. Implementation of measures to mitigate these unwanted effects
established a new paradigm of production and distribution of electrical
energy named smart grid. It relies on many novelties that improve the
production, distribution and consumption of electricity among which one of
the most important is the ICT. Among the ICT concepts implemented in modern
smart grid one recognizes the artificial intelligence and, specifically the
artificial neural network. Here, after reviewing the subject and setting the
case, we are reporting some of our newest results aiming at broadening the
set of tools being offered by ICT to the smart grid. We will describe our
result in prediction of electricity demand and characterization of new
threats to the security of the ICT that may use the grid as a carrier of the
attack. We will use artificial neural networks (ANNs) as a tool in both
subjects.
J-Net System: A New Paradigm for Artificial Neural Networks Applied to Diagnostic Imaging - Theory
