К содержанию
РецензированоEN2025

ANALYSIS OF ENERGY SOURCES USED IN AUTOMOTIVE TRANSPORT WITH AI

Исроилжон Кучкоров

Международный журнал искусственного интеллекта · 232-234 · 2025

Аннотация

This analysis explores the various energy sources used in automotive transport, focusing on gasoline, diesel, electricity, hydrogen, and biofuels. Artificial Intelligence (AI) plays a crucial role in optimizing energy efficiency, predicting vehicle performance, and enhancing sustainability. By using AI-driven models, researchers and engineers can assess environmental impacts, forecast energy demands, and develop smart mobility solutions. The integration of AI with automotive systems also enables real-time monitoring and adaptive energy management. This synergy between AI and alternative energy sources is essential for advancing cleaner, more efficient transportation. The study aims to guide future innovation in energy usage and vehicle technologies.

Доказательный фрагмент

«This analysis explores the various energy sources used in automotive transport, focusing on gasoline, diesel, electricity, hydrogen, and biofuels.»

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This analysis explores the various energy sources used in automotive transport, focusing on gasoline, diesel, electricity, hydrogen, and biofuels. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Журнал
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Ключевые слова
AI, Automobile transport, energy sources, gasoline, diesel, CNG, LPG, biofuel, electricity, hydrogen.
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