Evaluation of cooling setpoint setback savings in commercial buildings using electricity and exterior temperature time series data
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DOI: 10.1016/j.energy.2021.121117
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References listed on IDEAS
- Arash Khalilnejad & Ahmad M Karimi & Shreyas Kamath & Rojiar Haddadian & Roger H French & Alexis R Abramson, 2020. "Automated pipeline framework for processing of large-scale building energy time series data," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-22, December.
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Cited by:
- Triolo, Ryan C. & Rajagopal, Ram & Wolak, Frank A. & de Chalendar, Jacques A., 2023. "Estimating cooling demand flexibility in a district energy system using temperature set point changes from selected buildings," Applied Energy, Elsevier, vol. 336(C).
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Keywords
Building energy; HVAC; Commercial buildings; Data analytics; Setpoint setback; Random forest; Time series;All these keywords.
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