Optimal control strategy based on neural model of nonlinear systems and evolutionary algorithms for renewable energy production as applied to biofuel generation-Reference-Cited by-同舟云学术

Optimal control strategy based on neural model of nonlinear systems and evolutionary algorithms for renewable energy production as applied to biofuel generation

Published:2017-05 Issue:3 Volume:9 Page:033101
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Gurubel K. J.^ORCID,Osuna-Enciso V.^ORCID,Coronado-Mendoza A.,Cuevas E.

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4985311

Reference40 articles.

1. Flexibility in future power systems with high renewable penetration: A review

2. A novel hybrid approach to allocate renewable energy sources in distribution system

3. A methodology for equivalent modeling of distribution system based on nonlinear model reduction

4. Modeling of non-linear CHP efficiency curves in distributed energy systems

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