Energy Management of Smart Homes by Optimizing Energy Consumption Scheduling

Farid Momayezi (), Kamyar Sabri-Laghaie () and Nader Ghaffarinasab ()
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Farid Momayezi: Urmia University of Technology
Kamyar Sabri-Laghaie: Urmia University of Technology
Nader Ghaffarinasab: University of Tabriz

A chapter in Handbook of Smart Energy Systems, 2023, pp 713-734 from Springer

Abstract: Abstract An intelligent home is able to automatically adjust and manage different systems of the building according to a predefined plan to control energy consumption level. In order to manage energy costs, smart appliances can be scheduled to be used at different times of the day. Energy costs may continuously vary over time depending on different factors such as inhabitant behavior, weather conditions, renewable energy generation, etc. Scheduling of smart appliances can be carried out by taking into account the varying behavior of energy costs. Therefore, by considering different factors affecting energy costs and operational constraints, mathematical models can be utilized to optimize the scheduling of energy consumption of different appliances of a smart home. These models for optimizing the scheduling of smart appliances can result in significant energy savings. Therefore, the problem of energy consumption scheduling in smart homes is investigated in this research and some basic integer programming and mixed integer programming models are reviewed and described.

Keywords: Smart home; Energy management; Home appliances; Integer programming (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_67

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DOI: 10.1007/978-3-030-97940-9_67

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