Special Issue on Fuzzy Systems in Power Networks

Submission Deadline: May 30, 2016

Please click the link to know more about Manuscript Preparation: http://www.eeejournal.org/submission

  • Lead Guest Editor
    • Abdoljalil Addeh
      Department of Electrical Group, Babol Noshirvani University, Babol, Mazandaran, Iran
  • Guest Editor
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    • Ali Lari
      Electrical Engineering Department, Noshirvani Babol University, Tehran, Iran
    • Abdoljalil Addeh
      Department of Electrical Group, Babol Noshirvani University, Babol, Mazandaran, Iran
  • Introduction

    Fuzzy systems represent the promising new generation of information processing systems. An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy inference system. The technique was developed in the early 1990s. Since it integrates both neural networks and fuzzy logic principles, it has potential to capture the benefits of both in a single framework. Its inference system corresponds to a set of fuzzy IF–THEN rules that have learning capability to approximate nonlinear functions. Hence, ANFIS is considered to be a universal estimator. For using the ANFIS in a more efficient and optimal way, one can use the best parameters obtained by genetic algorithm. Adaptive network based fuzzy inference systems are good at tasks such as pattern matching and classification, function approximation, optimization and data clustering, while traditional computers, because of their architecture, are inefficient at these tasks, especially pattern-matching tasks. In the proposed special issue, we want to focus on application of adaptive network based fuzzy inference systems in power networks. For this purpose, the adaptive network based fuzzy inference systems may be applied to DC motor speed control, FACTS devices control and so on.

    Aims and Scope:

    1. Motor Speed Control
    2. FACTS devices
    3. Transformers
    4. Voltage Profile
    5. Optimization

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.eeejournal.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.