- Titulinis
- Dalykinė ir mokslinė literatūra
- Technologijos mokslai
- Energetika ir termoinžinerija
- Green Machine Learning and Big Data for Smart Grids
Green Machine Learning and Big Data for Smart Grids
ISBN: 9780443289514
Leidimo metai: 2024
Leidėjas: Elsevier
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Leidimo metai: 2024
Leidėjas: Elsevier
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Aprašymas
<i>Green Machine Learning and Big Data for Smart Grids: Practices and Applications</i> is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of “green” machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.<br><br>Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.
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