The course aims to equip studentswith an understanding of key issues in the management of innovation and anappreciation of the relevant skills needed to manage innovation at bothstrategic and operational levels. It provides evidence of different approachesbased on leading research, real world examples and experiences of firms andorganizations from around the world.
The management of innovation is oneof the most important and challenging aspects of modern organization.Innovation is a fundamental driver of competitiveness and it plays a large partin improving quality of life. Innovation, and particularly technologicalinnovation, is inherently difficult, uncertain and risky, and most newtechnologies fail to be translated into successful products and services. Giventhis, it is essential that students understand the strategies, tools and techniquesfor managing innovation, which often requires a different set of managementknowledge and skills from those employed in everyday business administration.The course itself draws upon research activities of the Institute forTechnology and Innovation Management at the TUHH (www.tuhh.de/tim)
Hund, P. (2021). Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.
Hund, P. (2021). Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.
Möller, P. (2021). Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.
Plant, R. (2021). Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.
2020
Dressel, M. (2020). Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.
Schmidt, M. (2020). Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.