SOURCE-LINKED INTELLIGENCE

Decision making methodologies for optimal design and operation of energy systems

CORDIS · observation · Publication date unknown

is is the main objective of this fellowship. This fellowship will be conducted at IST/University of Lisbon under the supervision of Prof. Henrique Matos, and aims to bridge these gaps by integrating machine learning, systems optimization, uncertainty analysis, and real-time operation. It seeks to develop advanced surrogate generation techniques, emphasize system integration and holistic analysis, optimization under uncertainty, and the use of real-time data for operation. These methods will be applied to real industrial challenges in an industrial secondment. This research project will develop methods and tools to address such challenges and contribute to a sustainable, profitable, and responsible European economy. Energy systems engineering, Process systems engineering

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recordType

award

status

SIGNED

region

EU

value

172618.56

unit

EUR