Coordinated operation of the integrated electricity-water distribution system and water-cooled 5G base stations

Sun, Min; Zhao, Xuetong; Tan, Hong

doi:10.1016/j.energy.2021.122034

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…A conceivable motive can be that users suppose the 5G technology to be valuable for the price, which is easy to navigate. In a somewhat similar sense, Zhu et al [41], Sun et al [56], and Singh [85] suggested that HB and price affect BI positively. The research extends its literature to embrace PT to find the mediating role to achieve BI.…”

Section: Measurement Modelmentioning

confidence: 87%

“…The hedonic viewpoint is associated with an individual's psychological and poignant understandings, which may be generated by individual traits and cognitive conditions [16]. Sun et al [56] investigated the interactions between customers and technology items by assessing customers' intentions. Tang et al [43] set a frame to measure the outcome of HM on consumer buying behavior.…”

Section: Hedonic Motivationmentioning

confidence: 99%

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Quantifying the Dynamic Factors Influencing New-Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS-SEM Approach

Dadhich,

Rathore,

Gyamfi

et al. 2023

Education Research International

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Objectives. The 5G has ushered in a new age of life-changing breakthroughs and advancements due to faster speeds, greater bandwidth, and ultra-high expectancy. The study proposes a multistage approach for quantifying the dynamic factors affecting users’ adoption of 5G in emerging countries. Method. This study integrated the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) to recommend a comprehensive model that the industry–academia can adopt. In the proposed model, various core hypotheses and subhypotheses were tested by employing 510 5G users of the metro cities of India. An online questionnaire was used to collect the facts, and the data were framed in the conceptual model to test the validation using partial least squares structural equation modeling (PLS-SEM). Results. The findings suggest that users’ perceptions of adopting 5G are overwhelming in that perceived trust was discovered as a mediating enabler between behavioral intention (BI) and selected manifest. Performance expectancy (PE), effort expectancy (EE), social factors (SF), facilitating factors (FF), hedonic motivation (HM), perceived benefits (PB), price value (PV), and habit (HB). Contribution. By identifying key enablers in the suggested model, service providers may better evaluate these aspects, particularly in ensuring reliable infrastructure for 5G service stands. The study is undoubtedly a novel attempt to assist the telecom industry and policymakers in accelerating the adoption of 5G in emerging economies of Asian continents.

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Section: Measurement Modelmentioning

confidence: 87%

Section: Hedonic Motivationmentioning

confidence: 99%

Quantifying the Dynamic Factors Influencing New-Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS-SEM Approach

Dadhich,

Rathore,

Gyamfi

et al. 2023

Education Research International

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show abstract

“…TSP, a class of vehicle routing problems (VRPs), is defined to find the shortest possible tour traversing all cities exactly once and back to the starting city. It has attracted considerable attention in recent years due to its profound impact on theoretical computer science and operational research, and extensive real-world applications in robotics Guan et al (2021), logistics Baniasadi et al (2020), electricity Sun et al (2022), etc. Nevertheless, TSP is generally an NP-hard combinatorial optimization problem, and it is intractable and time-consuming to apply an exhaustive search to obtain the optimal solution via exact algorithms Vásquez et al (2021).…”

mentioning

confidence: 99%

Large-scale power inspection: A deep reinforcement learning approach

Guan

Zhang²,

Xie³

et al. 2023

Front. Energy Res.

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Power inspection plays an important role in ensuring the normal operation of the power grid. However, inspection of transmission lines in an unoccupied area is time-consuming and labor-intensive. Recently, unmanned aerial vehicle (UAV) inspection has attracted remarkable attention in the space-ground collaborative smart grid, where UAVs are able to provide full converge of patrol points on transmission lines without the limitation of communication and manpower. Nevertheless, how to schedule UAVs to traverse numerous, dispersed target nodes in a vast area with the least cost (e.g., time consumption and total distance) has rarely been studied. In this paper, we focus on this challenging and practical issue which can be considered as a family of vehicle routing problems (VRPs) with regard to different constraints, and propose a Diverse Trajectory-driven Deep Reinforcement Learning (DT-DRL) approach with encoder-decoder scheme to tackle it. First, we bring in a threshold unit in our encoder for better state representation. Secondly, we realize that the already visited nodes have no impact on future decisions, and then devise a dynamic-aware context embedding which removes irrelevant nodes to trace the current graph. Finally, we introduce multiply decoders with identical structure but unshared parameters, and design a Kullback-Leibler divergence based regular term to enforce decoders to output diverse trajectories, which expands the search space and enhances the routing performance. Comprehensive experiments on five types of routing problems show that our approach consistently outperforms both DRL and heuristic methods by a clear margin.

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Operating parameters optimization of a thermosyphon and compressor system used in 5G TBS

Meng,

Zhang,

Zou

et al. 2024

Applied Thermal Engineering

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Coordinated operation of the integrated electricity-water distribution system and water-cooled 5G base stations

Cited by 8 publications

References 37 publications

Quantifying the Dynamic Factors Influencing New-Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS-SEM Approach

Quantifying the Dynamic Factors Influencing New-Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS-SEM Approach

Large-scale power inspection: A deep reinforcement learning approach

Operating parameters optimization of a thermosyphon and compressor system used in 5G TBS

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