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Intelligent Data Analytics for Power and Energy Systems (Hardcover, 1st ed. 2022) Loot Price: R5,397
Discovery Miles 53 970
Intelligent Data Analytics for Power and Energy Systems (Hardcover, 1st ed. 2022): Hasmat Malik, Md. Waseem Ahmad, D.P. Kothari

Intelligent Data Analytics for Power and Energy Systems (Hardcover, 1st ed. 2022)

Hasmat Malik, Md. Waseem Ahmad, D.P. Kothari

Series: Lecture Notes in Electrical Engineering, 802

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Loot Price R5,397 Discovery Miles 53 970 | Repayment Terms: R506 pm x 12*

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This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes in Electrical Engineering, 802
Release date: February 2022
First published: 2022
Editors: Hasmat Malik • Md. Waseem Ahmad • D.P. Kothari
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 641
Edition: 1st ed. 2022
ISBN-13: 978-981-16-6080-1
Categories: Books > Professional & Technical > Energy technology & engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 981-16-6080-8
Barcode: 9789811660801

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