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Smart Charging in Solar Microgrids: Intelligent Forecasting and Control for Sustainable Electric Mobility (Lecture Notes in Electrical Engineering, 1518) - Hardcover

 
9783032123008: Smart Charging in Solar Microgrids: Intelligent Forecasting and Control for Sustainable Electric Mobility (Lecture Notes in Electrical Engineering, 1518)
Hardcover
ISBN 10: 3032123003 ISBN 13: 9783032123008
Verlag: Springer, 2026

Inhaltsangabe

The integration of microgrids with solar generation enhances energy efficiency, stability, and sustainability. Yet, managing such systems requires advanced forecasting and optimisation models. Microgrids that unite distributed sources, storage, and intelligent control enable efficient energy use even under grid constraints. Powering electric vehicle charging stations with solar energy supports eco-friendly and independent mobility.

This book explores modern methods for modelling and controlling EV charging stations within solar-powered microgrids. It focuses on predictive models, load balancing, and optimisation algorithms that improve energy distribution and grid reliability. Special attention is given to intelligent control strategies, machine learning applications, and adaptive scheduling.

The presented approaches advance sustainable energy development, enabling flexible, efficient, and environmentally friendly charging infrastructure for the electric transport of the future.

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Von der hinteren Coverseite

The integration of microgrids with solar generation enhances energy efficiency, stability, and sustainability. Yet, managing such systems requires advanced forecasting and optimisation models. Microgrids that unite distributed sources, storage, and intelligent control enable efficient energy use even under grid constraints. Powering electric vehicle charging stations with solar energy supports eco-friendly and independent mobility.

This book explores modern methods for modelling and controlling EV charging stations within solar-powered microgrids. It focuses on predictive models, load balancing, and optimisation algorithms that improve energy distribution and grid reliability. Special attention is given to intelligent control strategies, machine learning applications, and adaptive scheduling.

The presented approaches advance sustainable energy development, enabling flexible, efficient, and environmentally friendly charging infrastructure for the electric transport of the future.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
3032123003
ISBN 13 
9783032123008
Einband
Gebundene Ausgabe
Anzahl der Seiten
147
Herausgeber
Zaporozhets Artur
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