Environmental sustainability and new models of development and relationship with the territory also involve the control and implementation of performance.
In this context, the digitisation of the energy system plays a crucial role in supporting the generation of value in territories through the proliferation of renewable facilities and in the efficient management and distribution of energy.
Maps Energy develops digital solutions to optimize the production, storage, and consumption of energy by interpreting complex data and integrating predictive models and analyses based on machine learning and artificial intelligence.
It supports the energy transition, new models of development and relationship with the territory, the use of renewable sources, and distributed generation. This is achieved through the improvement of performance and interoperability among different energy systems.
Energy monitoring of buildings, management of energy consumption in production and retail facilities, control and efficiency of cogeneration plants. We help companies plan based on consumption forecasts and the analysis of peaks and troughs to make energy supply flexible and efficient.
The right amount of energy, only when needed, at the service of comfort and production processes.
Automation and digitisation of infrastructures, processing and interpretation of IoT data in real time. These are the keys to detecting and avoiding disruptions and blockages in advance.
Machine learning and artificial intelligence allow monitoring the health of production facilities and power grids to maximise performance, improve maintenance planning, and optimise investments and operating costs.
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