An insight into actual energy use and its drivers in high-performance buildings
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DOI: 10.1016/j.apenergy.2014.06.032
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References listed on IDEAS
- Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
- Hong, Tianzhen & Chang, Wen-Kuei & Lin, Hung-Wen, 2013. "A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data," Applied Energy, Elsevier, vol. 111(C), pages 333-350.
- Peterman, Andrew & Kourula, Arno & Levitt, Raymond, 2012. "A roadmap for navigating voluntary and mandated programs for building energy efficiency," Energy Policy, Elsevier, vol. 43(C), pages 415-426.
- Hong, Tianzhen & Yang, Le & Hill, David & Feng, Wei, 2014. "Data and analytics to inform energy retrofit of high performance buildings," Applied Energy, Elsevier, vol. 126(C), pages 90-106.
- Brown, Richard E. & Koomey, Jonathan G., 2003. "Electricity use in California: past trends and present usage patterns," Energy Policy, Elsevier, vol. 31(9), pages 849-864, July.
- Lin, Hung-Wen & Hong, Tianzhen, 2013. "On variations of space-heating energy use in office buildings," Applied Energy, Elsevier, vol. 111(C), pages 515-528.
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Keywords
Actual energy use; Building technologies; Driving factors; High-performance buildings; Integrated design; Performance rating;All these keywords.
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