2020
DOI: 10.1016/j.scs.2020.102480
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Adaptive-predictive control strategy for HVAC systems in smart buildings – A review

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Cited by 132 publications
(52 citation statements)
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“…A systematic analysis of scientific research has shown unanimity that the orientation of the final product of smart solutions to citizens is one of the most important conditions for effective development [8][9][10].…”
Section: Methodsmentioning
confidence: 99%
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“…A systematic analysis of scientific research has shown unanimity that the orientation of the final product of smart solutions to citizens is one of the most important conditions for effective development [8][9][10].…”
Section: Methodsmentioning
confidence: 99%
“…The point is that all building management systems and strategies can be classified as traditional and advanced. Accordingly, in relation to smart city systems and smart buildings, it is advisable to talk about the adaptability of approaches to management in accordance with the characteristics of buildings, weather conditions, digital solutions used and the position of users [10].…”
Section: Methodsmentioning
confidence: 99%
“…The high energy share of HVAC systems in buildings, which increase greenhouse gas emissions and costs, motivates researchers to study the various parameters related to reducing energy consumption and finding sustainable solutions for HVAC systems [ 7 , 8 ]. Many studies have been conducted to develop advanced design and control strategies to optimize energy, thermal, and environmental performance and to make these strategies cost-effective for HVAC systems [ 2 , 9 , 10 , 11 ].…”
Section: Energymentioning
confidence: 99%
“…Smart technologies could be predictive/responsive/adaptive against weather, users, grids, and other variables. The use of these smart technologies in buildings and HVAC systems could reduce energy and cost remarkably [ 7 , 73 ] ( Figure 2 ). Figure 3 presents the managing level of adaptive–predictive control strategies in the smart building through a cloud platform.…”
Section: Energymentioning
confidence: 99%
“…The assumption proposed in this study is that delivering NZEBs and PEBs nets differs profoundly. These two models are both characterised by technological innovations such as efficient heating and cooling technologies, from single buildings up to districts (Buffa, Cozzini, D'Antoni, Baratieri, & Fedrizzi, 2019), adaptive-predictive control strategies (Gholamzadehmir, Del Pero, Buffa, Fedrizzi, & Aste, 2020), and digitalisation of products and processes (Shao, Liu, Li, Chaudhry, & Yue, 2021) among others. However, being based on a completely new institutional organisation (i.e.…”
Section: Introductionmentioning
confidence: 99%