Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic
| Autor: | R. Ramakumar, Zeel Maheshwari |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Artificial neural network business.industry 020209 energy 020208 electrical & electronic engineering Control engineering 02 engineering and technology Industrial engineering Environmentally friendly Fuzzy logic Renewable energy Fuzzy electronics Renewable energy system Path (graph theory) 0202 electrical engineering electronic engineering information engineering Intelligent control business |
| Zdroj: | Journal of Power and Energy Engineering. :156-171 |
| ISSN: | 2327-5901 2327-588X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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