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In den letzten Jahren sind verstärkt große Batteriespeichersysteme in der Mittel- und Hochspannungsebene in Deutschland installiert worden. Neben dem Einsatz für lokale Anwendungszwecke wie Eigenverbrauchsmaximierung oder Lastspitzenkappung sind seit 2016 etwa 250 MW aus Batteriespeichern für die Teilnahme am Markt für Primärregelleistung (PRL) präqualifiziert worden. Damit können bereits 40 % des aktuellen Bedarfs der deutschen Übertragungsnetzbetreiber (ÜNB) gedeckt werden. Für einen zuverlässigen Betrieb von Batteriespeichern sind intelligente Betriebsstrategien erforderlich, die im Rahmen dieser Analyse vorgestellt werden.
Artificial Intelligence (AI) can potentially transform many aspects of modern society in various ways, including automation of tasks, personalization of products and services, diagnosis of diseases and their treatment, transportation, safety, and security in public spaces, etc. Recently, AI technology has been transforming the financial industry, offering new ways to analyse data and automate processes, reduce costs, increase efficiency, and provide more personalized services to customers. However, it also raised important ethical and regulatory questions that need to be addressed by the industry and society as a whole. The aim of the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education) has been to establish a training platform that will incorporate teaching guidelines based on a curriculum covering different areas of application of AI technology. In this work, we will focus on applying AI models in the financial and insurance sectors.