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Könyv Smart Energy and Electric Power Systems Sanjeevikumar Padmanaban

Smart Energy and Electric Power Systems

Szerző: Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Dhanaraj, Balamurugan Balusamy
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Elsevier - Health Sciences Division
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
61 136 Ft
Smart Energy and Electric Power Systems reviews key applications of intelligent algorithms and machi...

Információk a könyvről

Szerző
Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Dhanaraj, Balamurugan Balusamy
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
226
EAN
9780323916646
Enbook ID
38391807
Kiadó
Elsevier - Health Sciences Division
Súly
370
Méretek
225 x 153 x 17

Teljes leírás

Smart Energy and Electric Power Systems reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector. Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand

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