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://ec.europa.eu/eurostat/statistics-explained/index.php?title=Renewable_energy_statistics#Over_one_fifth_of_energy_used_for_heating_and_cooling_from_renewable_sources . [22] M. Chaikumbung , “ Institutions and consumer preferences for renewable energy: a meta-regression analysis ,” Renew. Sustain. Energy Rev. , vol. 146 , 2021 , Paper no. 111143 . https://doi.org/10.1016/j.rser.2021.111143 . [23] Y. Yang , H

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. Fitzgerald , B. Mehler , B. Reimer , and J. F. Coughlin , “ Autonomous vehicles, trust, and driving alternatives: a survey of consumer preferences ,” Mass. Inst. Technol. AgeLab, Cambridge , vol. 1 , no. 16 , pp. 2012 – 2018 , 2016 . [12] L. M

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Abstract

This paper discusses the control of the electric energy consumption in a household equipped with smart devices. The household consumption pattern is the result of a two-level optimization framework. The scheduling of the electric appliances is determined by the first optimization, receiving Time of Use tariffs proposed by the utility company. The scheduler considers the consumer's preferences on the powering on for each appliance.

Secondly a model predictive controller is developed to control the electric heating system based on energy constraints resulting from the appliance scheduling.

Simulations show the energy efficiency and an optimized electricity cost of the strategy proposed.

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