Smart Energy Usage and Visualization Based on Micro-moments
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-29513-4_41
Reference19 articles.
1. Ouyang, J., Hokao, K.: Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China. Energy Build. 41, 711–720 (2009). https://doi.org/10.1016/j.enbuild.2009.02.003
2. Ürge-Vorsatz, D., Cabeza, L.F., Serrano, S., Barreneche, C., Petrichenko, K.: Heating and cooling energy trends and drivers in buildings. Renew. Sustain. Energy Rev. 41, 85–98 (2015). https://doi.org/10.1016/j.rser.2014.08.039
3. Poortinga, W., Steg, L., Vlek, C., Wiersma, G.: Household preferences for energy-saving measures: a conjoint analysis. J. Econ. Psychol. 24, 49–64 (2003). https://doi.org/10.1016/S0167-4870(02)00154-X
4. de Almeida, A., Fonseca, P., Schlomann, B., et al.: Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations. Energy Build. 43, 1884–1894 (2011)
5. Pablo-Romero, M.P., Pozo-Barajas, R., Yñiguez, R.: Global changes in residential energy consumption. Energy Policy 101, 342–352 (2017). https://doi.org/10.1016/j.enpol.2016.10.032
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