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Gheorghe Stăvărache

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Author: Gheorghe StăvăracheSubject: Ecology and Environmental Protectionclear all
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SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Energy and Clean Technologies
Publication

LONG TERM PREDICTION OF WIND SPEED WITH ARTIFICIAL NEURAL NETWORKS

(STEF92 Technology, 2020-09-20, Gheorghe Stăvărache, Valerian Novac, Sorin Ciortan, Eugen Rusu)

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The paper presents a methodology, based on artificial neural networks, for the offshore wind speed values long-term prediction. One of the most available renewable energy is the wind energy. The offshore wind turbines placement presents some benefits comparing with onshore one, like lower environmental impact and long-term stability of surroundings geometry. Of course, there are also drawbacks, like difficult set-up and maintenance or expensive transmission systems for the converted energy. Over all, the off-shore...

Ecology and Environmental Protection2020
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Energy and Clean Technologies
Publication

ANALYSIS OF THE ENVIRONMENT CHARACTERISTICS INFLUENCE ON WIND POWER WITH ARTIFICIAL NEURAL NETWORKS

(STEF92 Technology, 2019-06-20, Gheorghe Stăvărache)

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The paper presents an analysis methodology, based on artificial neural networks, for the influences of environment characteristics on generated wind power in Republic of Moldavia. The necessity to reduce the pollution, on one hand and the increasing energy consumption on other hand, leads to an extensive use of so called "renewable energy sources" between these the most targeted being wave and wind energy. For the countries without exits to seas or oceans - like Republic of Moldova is - the wind energy remain the ...

Ecology and Environmental Protection2019
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