Author(s)

Zeel Maheshwari, Rama Ramakumar

School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA.

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.

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

Maheshwari, Z. and Ramakumar, R. (2017) Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic. Journal of Power and Energy Engineering, 5, 156-171. doi: 10.4236/jpee.2017.59013.