Developing smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis

Zhang, Fan; Chan, Albert P.C.; Li, Dezhi

doi:10.1016/j.ssci.2023.106310

Cited by 8 publications

(2 citation statements)

References 94 publications

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“…The rapid increase in population growth and energy consumption has brought about many environmental problems such as global warming (Weil et al, 2023) and energy crisis (Hafeez et al, 2020a). Among all energy consumption, household energy consumption is an important component (Zhang et al, 2023). To optimize the energy structure of households and reduce energy consumption, energy consuming equipment such as rooftop photovoltaics (PV), heat pumps, electric vehicle (EV), and batteries have been widely promoted.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Home energy management strategy to schedule multiple types of loads and energy storage device with consideration of user comfort: a deep reinforcement learning based approach

Pan,

Zhu,

Luo

et al. 2024

Front. Therm. Eng.

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With the increase in the integration of renewable sources, the home energy management system (HEMS) has become a promising approach to improve grid energy efficiency and relieve network stress. In this context, this paper proposes an optimization dispatching strategy for HEMS to reduce total cost with full consideration of uncertainties, while ensuring the users’ comfort. Firstly, a HEMS dispatching model is constructed to reasonably schedule the start/stop time of the dispatchable appliances and energy storage system to minimize the total cost for home users. Besides, this dispatching strategy also controls the switching time of temperature-controlled load such as air conditioning to reduce the energy consumption while maintaining the indoor temperature in a comfortable level. Then, the optimal dispatching problem of HEMS is modeled as a Markov decision process (MDP) and solved by a deep reinforcement learning algorithm called deep deterministic policy gradient. The example results verify the effectiveness and superiority of the proposed method. The energy cost can be effectively reduced by 21.9% at least compared with other benchmarks and the indoor temperature can be well maintained.

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Section: Introduction 1backgroundmentioning

confidence: 99%

Home energy management strategy to schedule multiple types of loads and energy storage device with consideration of user comfort: a deep reinforcement learning based approach

Pan,

Zhu,

Luo

et al. 2024

Front. Therm. Eng.

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“…Bibliometric reviews have been used in several fields of research, such as linguistics ( 19 ), medicine ( 20 ), or environmental health ( 21 ). In the case of sport, studies can be found related to coaching leadership ( 22 ), sport management ( 23 ), or sport education ( 24 ).…”

Section: Introductionmentioning

confidence: 99%

Race analysis in swimming: understanding the evolution of publications, citations and networks through a bibliometric review

Morais,

Barbosa,

Arellano

et al. 2024

Front. Sports Act. Living

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The aim of this study was to conduct a scoping and bibliometric review of swimming articles related to race analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to identify relevant studies. Articles on race analysis in swimming published between 1984 and December 31, 2023 were retrieved from the Web of Science database. 366 records were screened and a total of 74 articles were retained for analysis. Until 2012, there were some time intervals with no or few publications. From 2012, there was a clear upward trend in publications and citations. This theme was led by the United States of America, Australia, and Spain. Australia and Spain maintain their status as the countries with the most publications. The analysis of author collaborations revealed two clusters with Spanish authors, and the remaining clusters are composed of Portuguese, Swiss, and Australian authors. With this bibliometric review, it has been possible to understand the evolution of the articles published on race analysis in swimming, the countries and the authors that have contributed most to this topic over the years. The prediction model shows that the number of articles and citations on this topic will continue to increase over the next 10 years (until 2034).

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Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural networks

Al-Haddad,

Al-Muslim,

Hammood

et al. 2024

Asian J Civ Eng

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Developing smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis

Cited by 8 publications

References 94 publications

Home energy management strategy to schedule multiple types of loads and energy storage device with consideration of user comfort: a deep reinforcement learning based approach

Home energy management strategy to schedule multiple types of loads and energy storage device with consideration of user comfort: a deep reinforcement learning based approach

Race analysis in swimming: understanding the evolution of publications, citations and networks through a bibliometric review

Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural networks

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