期刊
出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2015.07.706
关键词
Power Quality; Electric Networks; Expert System; Artificial Neural Networks; Fuzzy systems; Multicriteria Decision Making
The aim of this paper is to present a Total Power Quality Index (TPQI) for estimating Power Quality (PQ) at a specific site of the electric network using Artificial Neural Network (ANN) methodology techniques and a variety of methods from Machine Learning. The main advantage of this methodology is the avoidance of certain arbitrary parameters used in previous research efforts implementing a Fuzzy Index Model. For the purposes of this study and for the training process of the proposed ANN model additional data derived from Power Quality measurements along with an appropriate questionnaire which gathered the opinion of experts was used. The proposed methodology appeared to be flexible, reprogrammable with the capability to assimilate new measurements and estimations in any specific case study. The outcome of the proposed ANN model is compared with the corresponding previously introduced Fuzzy Index model over three different case studies, providing significant results for further improvement. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据