| Autor: |
Ahmed, Raghad Hameed, Abdulrazzaq, Ali Abdulwahhab, Yunis, Mohammed Taha |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2021, Vol. 2404 Issue 1, p1-12, 12p |
| Abstrakt: |
Renewable energy has been published in the world to reduce pollution and global warming resulting from gas emissions. The development and establishment of renewable energy sources contribute to obtaining an integrated model system for energy production from the practical, technical and economic aspects. This article aims to present research in the field of renewable energy. This idea was obtained during a visit to projects sites that are far from energy sources and depend on supplying energy to generators, the results were taken and work was done to design a hybrid source of energy via using the Matlab program which is the incorporation of sources (solar cells and fuel cells) to be one source to form a generation system electric integrated works projects processing electric-powered alternative to be accurate and stable after the control system work on the design and take the results we have got is this system controlled by neural networks algorithm now energy source mobile can be harnessed for the maintenance of transmission lines of high tension and feed energy projects. The current study aims to generate a hybrid energy source (solar cells and fuel cells) to generate accurate and stable integrated electrical energy. Using neural network technology as an advanced technology to control the operation of electrical energy and reduce errors and speed of response through algorithms Deep learning to obtain results that contribute to the development of the scientific and technical field. As a result of the current study, a source of electrical energy was designed with high efficiency from natural sources, as it will form a source of renewable energy using control circuits (neural networks). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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