Intelligent technologies have advanced significantly over the past two decades and have integrated with cities to enhance citizen lives. Additionally, the amount of energy consumed varies depending on the weather, the number of occupants, and the type of building—commercial, residential, or administrative. In contrast, the citizen must make a trade-off between the building's environmental impact, comfort levels, and energy use. In this essay, we'll suggest a smart model that enables management, control, and regulation of energy usage in accordance with a set of standards. As a result, this approach enables real-time calculation, regulation, and optimization of energy usage as well as comfort for the occupants. As a result, the person can learn about their energy consumption without having to read electricity measurements or wait for a billing cycle. Additionally, this method enables energy resource conservation and increases system output even during periods of high demand.

Optimizing of Consumption Energy in Smart building

Clementini E.
2022-01-01

Abstract

Intelligent technologies have advanced significantly over the past two decades and have integrated with cities to enhance citizen lives. Additionally, the amount of energy consumed varies depending on the weather, the number of occupants, and the type of building—commercial, residential, or administrative. In contrast, the citizen must make a trade-off between the building's environmental impact, comfort levels, and energy use. In this essay, we'll suggest a smart model that enables management, control, and regulation of energy usage in accordance with a set of standards. As a result, this approach enables real-time calculation, regulation, and optimization of energy usage as well as comfort for the occupants. As a result, the person can learn about their energy consumption without having to read electricity measurements or wait for a billing cycle. Additionally, this method enables energy resource conservation and increases system output even during periods of high demand.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/201240
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