Continuous Simulation for Urban Energy Planning Based on a Non-Linear Data-Driven Modelling Approach

The thesis develops the argument for scale sensitive local energy planning, combining energy demand simulation with the development of continuous benchmarks. A non-linear data driven modelling approach is selected to represent space heating needs for urban areas. The model is applied to the scale of buildings, building clusters and neighbourhoods and compared to measured data in order to test its scalability. The results confirm the applicability of the approach to the scale of neighbourhoods.

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