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Smart Energy and Electric Power Systems - Current Trends and New Intelligent Perspectives (Paperback) Loot Price: R3,036
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Smart Energy and Electric Power Systems - Current Trends and New Intelligent Perspectives (Paperback): Sanjeevikumar...

Smart Energy and Electric Power Systems - Current Trends and New Intelligent Perspectives (Paperback)

Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Kayal Padmanandam, Rajesh Kumar Dhanaraj, Balamurugan Balusamy

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Was R3,351 Loot Price R3,036 Discovery Miles 30 360 | Repayment Terms: R285 pm x 12* You Save R315 (9%)

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Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives 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.

General

Imprint: Elsevier - Health Sciences Division
Country of origin: United States
Release date: September 2022
First published: 2023
Editors: Sanjeevikumar Padmanaban • Jens Bo Holm-Nielsen • Kayal Padmanandam • Rajesh Kumar Dhanaraj • Balamurugan Balusamy
Dimensions: 229 x 152 x 17mm (L x W x T)
Format: Paperback
Pages: 226
ISBN-13: 978-0-323-91664-6
Categories: Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Electric motors
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LSN: 0-323-91664-3
Barcode: 9780323916646

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