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A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data

Citations

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Cited by:

  1. Chaudhary, Gaurav & New, Joshua & Sanyal, Jibonananda & Im, Piljae & O’Neill, Zheng & Garg, Vishal, 2016. "Evaluation of “Autotune” calibration against manual calibration of building energy models," Applied Energy, Elsevier, vol. 182(C), pages 115-134.
  2. Sun, Kaiyu & Hong, Tianzhen & Taylor-Lange, Sarah C. & Piette, Mary Ann, 2016. "A pattern-based automated approach to building energy model calibration," Applied Energy, Elsevier, vol. 165(C), pages 214-224.
  3. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
  4. Fikru, Mahelet G. & Gautier, Luis, 2015. "The impact of weather variation on energy consumption in residential houses," Applied Energy, Elsevier, vol. 144(C), pages 19-30.
  5. Guo, Siyue & Yan, Da & Hong, Tianzhen & Xiao, Chan & Cui, Ying, 2019. "A novel approach for selecting typical hot-year (THY) weather data," Applied Energy, Elsevier, vol. 242(C), pages 1634-1648.
  6. Amin, Amin & Mourshed, Monjur, 2024. "Community stochastic domestic electricity forecasting," Applied Energy, Elsevier, vol. 355(C).
  7. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving," Applied Energy, Elsevier, vol. 147(C), pages 246-257.
  8. Behl, Madhur & Smarra, Francesco & Mangharam, Rahul, 2016. "DR-Advisor: A data-driven demand response recommender system," Applied Energy, Elsevier, vol. 170(C), pages 30-46.
  9. Mauree, Dasaraden & Naboni, Emanuele & Coccolo, Silvia & Perera, A.T.D. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 733-746.
  10. Bell, N.O. & Bilbao, J.I. & Kay, M. & Sproul, A.B., 2022. "Future climate scenarios and their impact on heating, ventilation and air-conditioning system design and performance for commercial buildings for 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  11. Caroline Hachem-Vermette & Somil Yadav, 2023. "Impact of Power Interruption on Buildings and Neighborhoods and Potential Technical and Design Adaptation Methods," Sustainability, MDPI, vol. 15(21), pages 1-26, October.
  12. Cui, Ying & Yan, Da & Hong, Tianzhen & Xiao, Chan & Luo, Xuan & Zhang, Qi, 2017. "Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China," Applied Energy, Elsevier, vol. 195(C), pages 890-904.
  13. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.
  14. Niu, Jide & Tian, Zhe & Yue, Lu, 2020. "Robust optimal design of building cooling sources considering the uncertainty and cross-correlation of demand and source," Applied Energy, Elsevier, vol. 265(C).
  15. Moral-Carcedo, Julián & Pérez-García, Julián, 2019. "Time of day effects of temperature and daylight on short term electricity load," Energy, Elsevier, vol. 174(C), pages 169-183.
  16. Eggimann, Sven & Usher, Will & Eyre, Nick & Hall, Jim W., 2020. "How weather affects energy demand variability in the transition towards sustainable heating," Energy, Elsevier, vol. 195(C).
  17. Mirlatifi, A.M. & Egelioglu, F. & Atikol, U., 2015. "An econometric model for annual peak demand for small utilities," Energy, Elsevier, vol. 89(C), pages 35-44.
  18. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
  19. Moradi, Amir & Kavgic, Miroslava & Costanzo, Vincenzo & Evola, Gianpiero, 2023. "Impact of typical and actual weather years on the energy simulation of buildings with different construction features and under different climates," Energy, Elsevier, vol. 270(C).
  20. Cole, Wesley J. & Rhodes, Joshua D. & Gorman, William & Perez, Krystian X. & Webber, Michael E. & Edgar, Thomas F., 2014. "Community-scale residential air conditioning control for effective grid management," Applied Energy, Elsevier, vol. 130(C), pages 428-436.
  21. Abokersh, Mohamed Hany & Spiekman, Marleen & Vijlbrief, Olav & van Goch, T.A.J. & Vallès, Manel & Boer, Dieter, 2021. "A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings," Applied Energy, Elsevier, vol. 281(C).
  22. Huang, Jianhua & Gurney, Kevin Robert, 2016. "The variation of climate change impact on building energy consumption to building type and spatiotemporal scale," Energy, Elsevier, vol. 111(C), pages 137-153.
  23. Wang, Zhikun & Crawley, Jenny & Li, Francis G.N. & Lowe, Robert, 2020. "Sizing of district heating systems based on smart meter data: Quantifying the aggregated domestic energy demand and demand diversity in the UK," Energy, Elsevier, vol. 193(C).
  24. Li, Honglian & Huang, Jin & Hu, Yao & Wang, Shangyu & Liu, Jing & Yang, Liu, 2021. "A new TMY generation method based on the entropy-based TOPSIS theory for different climatic zones in China," Energy, Elsevier, vol. 231(C).
  25. Kondi-Akara, Ghafi & Hingray, Benoit & Francois, Baptiste & Diedhiou, Arona, 2023. "Recent trends in urban electricity consumption for cooling in West and Central African countries," Energy, Elsevier, vol. 276(C).
  26. Song-Zan Chiou-Wei & Sheng-Hung Chen & Wei-Hung Chen, 2023. "Asymmetric Effects of Prices and Storage on Rig Counts: Evidence from the US Natural Gas and Crude Oil Markets," Energies, MDPI, vol. 16(15), pages 1-25, August.
  27. Małgorzata Cygańska & Magdalena Kludacz-Alessandri, 2021. "Determinants of Electrical and Thermal Energy Consumption in Hospitals According to Climate Zones in Poland," Energies, MDPI, vol. 14(22), pages 1-24, November.
  28. Chiou-Wei, Song-Zan & Chen, Sheng-Hung & Zhu, Zhen, 2020. "Natural gas price, market fundamentals and hedging effectiveness," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 321-337.
  29. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
  30. Li, Cheng & Hong, Tianzhen & Yan, Da, 2014. "An insight into actual energy use and its drivers in high-performance buildings," Applied Energy, Elsevier, vol. 131(C), pages 394-410.
  31. Evola, Gianpiero & Costanzo, Vincenzo & Infantone, Marco & Marletta, Luigi, 2021. "Typical-year and multi-year building energy simulation approaches: A critical comparison," Energy, Elsevier, vol. 219(C).
  32. Burleyson, Casey D. & Voisin, Nathalie & Taylor, Z. Todd & Xie, Yulong & Kraucunas, Ian, 2018. "Simulated building energy demand biases resulting from the use of representative weather stations," Applied Energy, Elsevier, vol. 209(C), pages 516-528.
  33. Nik, Vahid M., 2016. "Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)," Applied Energy, Elsevier, vol. 177(C), pages 204-226.
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