The biggest threats to energy supply security are outages due to undesired weather conditions and technical faults. In addition, unforeseen defects interrupt the financial and operational processes of the firms.
We develop AI-driven models that detect and predict faults and outages, operational inefficiencies, and potential system failures. We utilize a different type of data collecting various sources (E.g., weather conditions data and technical information of devices, etc.) to analyze the data, provide prioritized recommendations for energy supply security, and ensure high productivity.