A functional principal components model for internal loads in building energy simulation

A functional principal components model for internal loads in building energy simulation. Ward, R. M., Choudhary, R., Heo, Y., & Aston, J. A. In Building Simulation 2017, August, 2017. International Building Performance Simulation Association.
abstract bibtex

There is currently no established methodology for quantifying uncertainty in occupant-related building internal loads. In this paper, we propose that distinct spaces within a building may be assigned an opera- tional signature comprising the daily base load, load range and diversity profile. A Functional Data Anal- ysis (FDA) approach has been used to analyse moni- tored electricity consumption data for the derivation of such signatures. This approach enables simula- tion of the inherent stochasticity. It represents a step forward towards an ability to propagate uncertainty through a building energy simulation and to quantify the change in electricity consumption associated with a change in building operation.

@inproceedings{ward_functional_2017,
	title = {A functional principal components model for internal loads in building energy simulation},
	abstract = {There is currently no established methodology for quantifying uncertainty in occupant-related building internal loads. In this paper, we propose that distinct spaces within a building may be assigned an opera- tional signature comprising the daily base load, load range and diversity profile. A Functional Data Anal- ysis (FDA) approach has been used to analyse moni- tored electricity consumption data for the derivation of such signatures. This approach enables simula- tion of the inherent stochasticity. It represents a step forward towards an ability to propagate uncertainty through a building energy simulation and to quantify the change in electricity consumption associated with a change in building operation.},
	booktitle = {Building {Simulation} 2017},
	publisher = {International Building Performance Simulation Association},
	author = {Ward, Rebecca Mary and Choudhary, Ruchi and Heo, Yeonsook and Aston, John AD},
	month = aug,
	year = {2017},
	file = {BS2017_032.pdf:/Users/Bex/Zotero/storage/XMGIY7KD/BS2017_032.pdf:application/pdf}
}

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