From buildings to cities: How household demographics shape demand response and energy consumption
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DOI: 10.1016/j.apenergy.2023.122359
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References listed on IDEAS
- Razmara, M. & Bharati, G.R. & Hanover, Drew & Shahbakhti, M. & Paudyal, S. & Robinett, R.D., 2017. "Building-to-grid predictive power flow control for demand response and demand flexibility programs," Applied Energy, Elsevier, vol. 203(C), pages 128-141.
- Fischer, David & Harbrecht, Alexander & Surmann, Arne & McKenna, Russell, 2019. "Electric vehicles’ impacts on residential electric local profiles – A stochastic modelling approach considering socio-economic, behavioural and spatial factors," Applied Energy, Elsevier, vol. 233, pages 644-658.
- Ang, Yu Qian & Berzolla, Zachary Michael & Reinhart, Christoph F., 2020. "From concept to application: A review of use cases in urban building energy modeling," Applied Energy, Elsevier, vol. 279(C).
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Cited by:
- Marek Walacik & Aneta Chmielewska, 2024. "Energy Performance in Residential Buildings as a Property Market Efficiency Driver," Energies, MDPI, vol. 17(10), pages 1-18, May.
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Keywords
Demand response; Time use survey; Residential buildings archetype; Stochastic model; Markov chain;All these keywords.
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