Digitalisation and AI as tools for managing and optimising energy production systems. In order to have everything under control, improve performance and count on reliable predictive models.
The evolution of the energy sector is based on some fundamental values:
sustainability, system interoperability and digitalisation as a
tool for optimising performance.
The use of renewable energy sources and distributed generation
are two of the fundamental objectives set by the Kyoto Protocol
for the control of harmful emissions and which can be achieved
through:
The systems that companies will adopt must therefore allow the
players to count on:
These systems, based on automatic learning artificial intelligence platforms,
will be able to interpret complex data,
generating predictive models for production and consumption,
as well as to monitor field data, any anomalies and
possible improvements to be made to installation performance.
Environmental sustainability and energy saving are two
essential elements of social value. With a view to the relationship with the territory and to relations with stakeholders, an economic development that takes into account environmental protocols and the environment in general is decisive in terms of promoting the entity and of perception by the reference audience.
Consequently, the opportunities offered
by digital transformation and innovation for managing the resources
of a company for its social value production will be increasingly important, with the aim of:
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