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首页> 外文期刊>Facta Universitatis. Series Electronics and Energetics >IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORKS BASED AI CONCEPTS TO THE SMART GRID
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IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORKS BASED AI CONCEPTS TO THE SMART GRID

机译:基于人工智能概念的人工神经网络在智能电网中的实现

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摘要

?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.
机译:ICT和能源是两个经济领域,对现代社会的发展影响最大。同时,由于对自然资源的开发和对环境的不利影响,这些代表了对生态系统和人类未来的一种威胁。减轻这些不良影响的措施的实施建立了一种新的生产和分配电能的范例,称为智能电网。它依靠许多改善电力生产,分配和消费的新颖性,其中最重要的一项是ICT。在现代智能电网中实施的ICT概念中,人们认识到了人工智能,尤其是人工神经网络。在这里,在审查了主题并提出案例后,我们报告了一些最新成果,旨在扩大ICT为智能电网提供的工具集。我们将在预测电力需求以及表征可能将电网用作攻击载体的ICT安全新威胁的特征描述中描述我们的结果。在这两个主题中,我们都将使用人工神经网络(ANN)作为工具。

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