District Heating Network

A machine-learning model for the prediction of aggregated building energy demand from pan-European open datasets

Aggregated building energy demand is a useful indicator for urban energy planning. It can be used by planners and decision-makers to identify clusters of high energy demand in a given urban area and efficiently plan, for example, district heating …

A Flexible GIS-based Computational Framework for the Early Design of District Energy Networks

The design of district heating and cooling (DHC) networks is crucial to increase the pooling of energy supply and demand between individual buildings, and thus to reduce the environmental and financial costs of the energy systems. DHC networks are …