期刊文献+

Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic

Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic
下载PDF
导出
摘要 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. 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.
出处 《Journal of Power and Energy Engineering》 2017年第9期156-171,共16页 电力能源(英文)
关键词 ENERGIZATION Integrated RENEWABLE Energy Neural Network Fuzzy LOGIC Control Energization Integrated Renewable Energy Neural Network Fuzzy Logic Control
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部