Development of a clustering-based morning start time estimation algorithm for space heating and cooling-Reference-Cited by-同舟云学术

Development of a clustering-based morning start time estimation algorithm for space heating and cooling

Published:2019-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
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Author:

Gunay Burak¹,Shi Zixiao²,Ashouri Araz²,Newsham Guy²

Affiliation:

1. Carleton University, Ottawa, ON

2. National Research Council Canada, Ottawa, ON

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3360322.3360840

Reference26 articles.

1. ASHRAE. 2014. Guideline 14: Measurement of energy demand and water savings. ASHRAE. 2014. Guideline 14: Measurement of energy demand and water savings.

2. A new optimum start control algorithm

3. Near-optimal transition between temperature setpoints for peak load reduction in small buildings

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