Intelligent Data Analytics for Power and Energy Systems

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Éditeur :

Springer


Collection :

Lecture Notes in Electrical Engineering

Paru le : 2022-02-17

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Description

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.
Pages
641 pages
Collection
Lecture Notes in Electrical Engineering
Parution
2022-02-17
Marque
Springer
EAN papier
9789811660801
EAN PDF
9789811660818

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
64
Taille du fichier
17551 Ko
Prix
168,79 €
EAN EPUB
9789811660818

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
64
Taille du fichier
104909 Ko
Prix
168,79 €