Kyriakarakos, G., Dounis, A.I., Arvanitis, K.G. and Papadakis, G. (2012) A Fuzzy Logic Energy Management System for Polygeneration Microgrids. Renewable Energy, 41, 315-327.
https://doi.org/10.1016/j.renene.2011.11.019

has been cited by the following article:

• TITLE: Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic

  AUTHORS: Zeel Maheshwari, Rama Ramakumar

  KEYWORDS: Energization, Integrated Renewable Energy, Neural Network, Fuzzy Logic Control

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.5 No.9, September 29, 2017

  ABSTRACT: Development of energy-resources-poor remote rural areas of the world has been discussed by many in the past. Harnessing locally available renewable energy resources as an environmentally friendly option is gaining momentum. Smart Integrated Renewable Energy Systems (SIRES) offer a resilient and economic path to “energize” the area and reach this goal. This paper discusses its intelligent control using neural networks and fuzzy logic.