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Produktbild: Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems

Aus der Reihe Advances in Computational Collective Intelligence

308,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using AI...

Beschreibung

The book highlights how AI is applied to the development and management of renewable energy systems. It looks at how AI supports accurate prediction for energy generation and grid-related line loss, equipment failure, as well as load forecasting. The book also covers recent developments of using AI to design renewable energy systems.

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

22.09.2026
Abbildungen

schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss
Herausgeber Srikanta Kumar Mohapatra + weitere

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

22.09.2026
Abbildungen

schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss
Herausgeber
Verlag Taylor and Francis
Seitenzahl

264
Maße (L/B/H)

24/16,1/1,9 cm
Gewicht

514 g
Sprache

Englisch
ISBN

978-1-03-290103-9
Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Artificial Intelligence for Renewable Energy Systems

  • 1. Potential of Artificial Intelligence in Energy Management 2. Energy Management and Artificial Intelligence 3. Artificial Intelligence Applications in Wind Energy Systems 4. AI-Based Solar Power: The Next Opportunity to Manage Energy Challenges 5. A Precise Review of EV Battery Charging Technology 6. Revolutionizing Thermal Battery Technology: A Key Strategy to Preserve Renewable Energy with AI 7. Innovative AI/ML Approaches to Optimize Fuel Cell Efficiency in Electric Vehicles 8. AI and Forecasting for Renewable Energy Generation 9. Renewable Energy Dynamics: Growth Patterns and Predictions from 1965 to 2040 10. Advanced Data Analysis and Time Series Forecasting for Renewable Energy Trends 11. The Impact of Artificial Intelligence on Green Hydrogen and Renewable Energy Efficiency