Master Thesis: “Synthetic profile generation for energy system planning using Artificial Intelligence”
Author: Aniruddha Maiti
Supervisors: Prof. Enrique Zuazua, Zhengping Ji
Date: June, 2026
Rapid urbanization and population growth have led to a significant increase in energy consumption, especially in densely populated metropolitan areas. Simultaneously, the European Union and Germany have set ambitious goals to achieve carbon neutrality by the year 2045, demanding a large-scale transition to renewable energy systems. In this context, accurate modeling of demand profiles of consumers in a fine-grained level becomes an essential and fundamental step for efficient urban planning, grid stability and resource allocation. Increasing variability in both demand and supply further emphasizes the need for detailed and reliable consumption profiles that reflect real-world energy consumption patterns.
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