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Atlasus uses AI to optimize and increase the efficiency of the use of DNO infrastructure (power distribution network, RES integration). AI solutions operate on various data sets (data science) describing DNO assets: asset management data (using maps), network condition data, forecasting data (e.g. weather, generation, consumption, flexibility), historical data. The aim is to implement AI techniques for: - automating the digital representation of the actual state of assets - automating the identification of anomalies and deviations in the state of assets - supporting operational and investment processes by automating the generation of information for the planning and launch of works on assets - building a complete database of source and result data (processed by AI) with a geographical and historical dimension for the needs of complex forecasting, predictive and optimization analyses - forecasting the state of the network based on the simulation of its behavior in various conditions - forecasting and managing the life cycle of assets

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10 people are employed at Atlasus.

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