Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building 2010
DOI: 10.1145/1878431.1878435
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Building-level occupancy data to improve ARIMA-based electricity use forecasts

Abstract: The material in this document is covered by the provisions of the Copyright Act, by Canadian laws, policies, regulations and international agreements. Such provisions serve to identify the information source and, in specific instances, to prohibit reproduction of materials without written permission. For more information visit http://laws.justice.gc.ca/en/showtdm/cs/C-42Les renseignements dans ce document sont protégés par la Loi sur le droit d'auteur, par les lois, les politiques et les règlements du Canada e… Show more

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Cited by 92 publications
(61 citation statements)
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References 11 publications
(16 reference statements)
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“…At the same time, other works tackle the issue of one of the three subsystems. While [52,35], [55,47,36,56,42], and [60] choose to deal with HVAC subsystem, [24,63,62,48], and [59] focus on light subsystem. Last, [58,27,31,23,45,32,28], and [49] save energy for plug loads subsystem.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…At the same time, other works tackle the issue of one of the three subsystems. While [52,35], [55,47,36,56,42], and [60] choose to deal with HVAC subsystem, [24,63,62,48], and [59] focus on light subsystem. Last, [58,27,31,23,45,32,28], and [49] save energy for plug loads subsystem.…”
Section: Discussionmentioning
confidence: 99%
“…To gather data related to total building occupancy, they install wireless sensors in a three-storey building in eastern Ontario, Canada comprising laboratories and 81 individual work spaces [56].…”
Section: The Office Sectormentioning
confidence: 99%
See 2 more Smart Citations
“…In [9], Kimbara et al developed an autoregressive integrated moving average (ARIMA) model to implement online building energy consumption prediction. In [10], the ARIMA with external inputs (ARIMAX) model was applied to predict the power demand of the buildings. In [11], a regression-based method-conditional demand analysis (CDA)-was used for predicting the building energy consumption.…”
Section: Introductionmentioning
confidence: 99%