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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.
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