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Quantifying Changes in Building Electricity Use, With Application to Demand Response
Abstract
We present methods for analyzing commercial and industrial facility 15-min-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to “ask the right questions” to discover opportunities for demand response, energy efficiency, electricity waste elimination, and peak load management. We primarily focus on demand response. Methods discussed include graphical representations of electric load data, a regression-based electricity load model that uses a time-of-week indicator variable and a piecewise linear and continuous outdoor air temperature dependence and the definition of various parameters that characterize facility electricity loads and demand response behavior. In the future, these methods could be translated into easy-to-use tools for building managers.
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Cited by
A review of data-driven approaches for prediction and classification of building energy consumption
Wei, Y., Zhang, X., Shi, Y., Xia, L., Pan, S., Wu, J., Han, M., & Zhao, X. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.09.108 · Cited by 803
Gradient boosting machine for modeling the energy consumption of commercial buildings
Touzani, S., Granderson, J., & Fernandes, S. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2017.11.039 · Cited by 503
Machine Learning for Smart and Energy-Efficient Buildings
Das, H. P., Lin, Y.-W., Agwan, U., Spangher, L., Devonport, A., Yang, Y., Drgoňa, J., Chong, A., Schiavon, S., & Spanos, C. J. (2024) · Environmental Data Science · doi:10.1017/eds.2023.43 · Cited by 78
Metadata
- Authors
- Mathieu, J. L., Price, P. N., Kiliccote, S., & Piette, M. A.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2011-09
- Volume
- 2
- Issue
- 3
- Pages
- 507-518
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2168257715
- Cited by
- 336
- References
- 0
- FWCI
- 16.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mathieu, J. L., Price, P. N., Kiliccote, S., & Piette, M. A. (2011). Quantifying Changes in Building Electricity Use, With Application to Demand Response. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2145010
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