The Experts below are selected from a list of 142887 Experts worldwide ranked by ideXlab platform
Yingqi Liu - One of the best experts on this subject based on the ideXlab platform.
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demand response and energy efficiency in the Capacity Resource procurement case studies of forward Capacity markets in iso new england pjm and great britain
Energy Policy, 2017Co-Authors: Yingqi LiuAbstract:Abstract Demand-side Resources like demand response (DR) and energy efficiency (EE) can contribute to the Capacity adequacy underpinning power system reliability. Forward Capacity markets are established in many liberalised markets to procure Capacity, with a strong interest in procuring DR and EE. With case studies of ISO New England, PJM and Great Britain, this paper examines the process and trends of procuring DR and EE in forward Capacity markets, and the design for integration mechanisms. It finds that the contribution of DR and EE varies wildly across these three Capacity markets, due to a set of factors regarding mechanism design, market conditions and regulatory provisions, and the offering of EE is more heavily influenced by regulatory utility EE obligation. DR and EE are complementary in targeting end-uses and customers for Capacity Resources, thus highlighting the value of procuring them both. System needs and Resources’ market potential need to be considered in defining Capacity products. Over the long-term, it is important to ensure the removal of barriers for these demand-side Resources and the capability of providers in addressing risks of unstable funding and forward planning. For the EDR Pilot in the UK, better coordination with forward Capacity auction needs to be achieved.
Zhixing Yang - One of the best experts on this subject based on the ideXlab platform.
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social community aware Resource allocation for d2d communications underlaying cellular networks
IEEE Transactions on Vehicular Technology, 2016Co-Authors: Fang Wang, Zhaocheng Wang, Zhixing YangAbstract:Device-to-device (D2D) communication has been proposed as a promising technology for future cellular communication systems due to its advantages of high spectrum efficiency, low energy consumption, and enhanced system Capacity. Resource allocation for D2D communications, which occupies nonorthogonal channels with cellular transmissions, is an important problem in terms of achieving the aforementioned benefits. In this problem, there are two fundamental challenges to be addressed: 1) how to emulate cellular users to share their Resources and 2) how to efficiently allocate Resources in terms of channels for D2D pairs. In this paper, we exploit social ties in human-formed social networks to enhance D2D Resource sharing and further propose a social-community-aware D2D Resource allocation framework, where cellular users would like to share their channels with D2D communications in the same community formed by a group of people with close social ties. After that, we propose a two-step coalition game, where a coalition formulation is established for communities, and an optimal Resource allocation problem is formulated for D2D pairs. Extensive simulations on random networks and real mobile trace verify the effectiveness of the proposed scheme.
Fang Wang - One of the best experts on this subject based on the ideXlab platform.
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social community aware Resource allocation for d2d communications underlaying cellular networks
IEEE Transactions on Vehicular Technology, 2016Co-Authors: Fang Wang, Zhaocheng Wang, Zhixing YangAbstract:Device-to-device (D2D) communication has been proposed as a promising technology for future cellular communication systems due to its advantages of high spectrum efficiency, low energy consumption, and enhanced system Capacity. Resource allocation for D2D communications, which occupies nonorthogonal channels with cellular transmissions, is an important problem in terms of achieving the aforementioned benefits. In this problem, there are two fundamental challenges to be addressed: 1) how to emulate cellular users to share their Resources and 2) how to efficiently allocate Resources in terms of channels for D2D pairs. In this paper, we exploit social ties in human-formed social networks to enhance D2D Resource sharing and further propose a social-community-aware D2D Resource allocation framework, where cellular users would like to share their channels with D2D communications in the same community formed by a group of people with close social ties. After that, we propose a two-step coalition game, where a coalition formulation is established for communities, and an optimal Resource allocation problem is formulated for D2D pairs. Extensive simulations on random networks and real mobile trace verify the effectiveness of the proposed scheme.
Joshua Aronson - One of the best experts on this subject based on the ideXlab platform.
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Stigma as ego depletion: how being the target of prejudice affects self-control.
Psychological science, 2006Co-Authors: Michael Inzlicht, Linda Mckay, Joshua AronsonAbstract:This research examined whether stigma di- minishes people's ability to control their behaviors. Be- causecopingwithstigmarequiresself-regulation,andself- regulation is a limited-Capacity Resource, we predicted that individuals belonging to stigmatized groups are less able to regulate their own behavior when they become conscious of their stigmatizing status or enter threatening environments. Study 1 uncovered a correlation between stigma sensitivity and self-regulation; the more Black college students were sensitive to prejudice, the less self- control they reported having. By experimentally activat- ing stigma, Studies 2 and 3 provided causal evidence for stigma's ego-depleting qualities: When their stigma was activated, stigmatized participants (Black students and females) showed impaired self-control in two very dif- ferent domains (attentional and physical self-regulation). These results suggest that (a) stigma is ego depleting and (b) coping with it can weaken the ability to control and regulate one's behaviors in domains unrelated to the stigma.
Zhaocheng Wang - One of the best experts on this subject based on the ideXlab platform.
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social community aware Resource allocation for d2d communications underlaying cellular networks
IEEE Transactions on Vehicular Technology, 2016Co-Authors: Fang Wang, Zhaocheng Wang, Zhixing YangAbstract:Device-to-device (D2D) communication has been proposed as a promising technology for future cellular communication systems due to its advantages of high spectrum efficiency, low energy consumption, and enhanced system Capacity. Resource allocation for D2D communications, which occupies nonorthogonal channels with cellular transmissions, is an important problem in terms of achieving the aforementioned benefits. In this problem, there are two fundamental challenges to be addressed: 1) how to emulate cellular users to share their Resources and 2) how to efficiently allocate Resources in terms of channels for D2D pairs. In this paper, we exploit social ties in human-formed social networks to enhance D2D Resource sharing and further propose a social-community-aware D2D Resource allocation framework, where cellular users would like to share their channels with D2D communications in the same community formed by a group of people with close social ties. After that, we propose a two-step coalition game, where a coalition formulation is established for communities, and an optimal Resource allocation problem is formulated for D2D pairs. Extensive simulations on random networks and real mobile trace verify the effectiveness of the proposed scheme.
