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A. Mahdavi, F. Tahmasebi:
"Predictive models of electrical energy use in office buildings due to plug loads";
Vortrag: Building Simulation 2017 - 15th International Conference of the International Building Performance Simulation Association, San Francisco, USA; 07.08.2017 - 09.08.2017; in: "Proceedings of the 15th IBPSA Conference San Francisco, CA, USA, Aug. 7-9, 2017", IBPSA (Hrg.); IBPSA, (2017), S. 1005 - 1010.

(no german version) This paper explores the relationship between inhabitants´
presence, the installed power for office equipment, and
the resulting electrical energy use. This exploration is
based on long-term observational data obtained from a
continuously monitored office area in Vienna, Austria.
The findings facilitate the formulation of both simplified
and probabilistic models to estimate annual and peak
office plug loads. Aside from a general comparison of the
performance of simple and stochastic models, the present
contribution focuses on the question if and to which extent
consideration of the diversity of the inhabitants influences
the reliability of plug load predictions.

This paper explores the relationship between inhabitants´
presence, the installed power for office equipment, and
the resulting electrical energy use. This exploration is
based on long-term observational data obtained from a
continuously monitored office area in Vienna, Austria.
The findings facilitate the formulation of both simplified
and probabilistic models to estimate annual and peak
office plug loads. Aside from a general comparison of the
performance of simple and stochastic models, the present
contribution focuses on the question if and to which extent
consideration of the diversity of the inhabitants influences
the reliability of plug load predictions.