Energy signature
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Energy signatures (also called change-point regression models) relate heating or cooling energy demand of buildings to climatic variables, typically ambient temperature[1]. Energy signatures make a simplified assumption of a linear relationship between a building's energy demand and temperature[2]. This assumption allows for balancing accuracy with computation time, as the estimation of energy demand through energy signatures is considerably faster than using building performance simulation software. A crucial advantage of applying energy signatures is that no detailed information on the geometrical, construction, and operational characteristics of buildings needs to be available.
References
- ^ Eggimann Sven, Fiorentini Massimo (2024), "Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation", Energy and Buildings, doi:10.1016/j.enbuild.2024.114348
- ^ Martin Eriksson, Jan Akander, Bahram Moshfeg (2010), "Development and validation of energy signature method – Case study on a multi-family building in Sweden before and after deep renovation", Energy and Buildings, doi:10.1016/j.enbuild.2020.109756
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