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G-DBAS: A green and deployable bandwidth aggregation system
2012
2012 IEEE Wireless Communications and Networking Conference (WCNC)
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growing demand on data. ...
To date, these interfaces are mainly utilized one at a time based on network availability, cost, and user-choice. ...
It relies on the estimated bandwidth for each interface and the estimated connection data demand per application. ...
doi:10.1109/wcnc.2012.6214376
dblp:conf/wcnc/HabakYH12
fatcat:4s4pfb6vsffmzeanghc75irmv4
Revenue and Distributional Consequences of Alternative Outdoor Recreation Pricing Mechanisms: Evidence from a Micro Panel Data Set
2021
Land Economics
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In an application using the Iowa Lakes data set, we consider a different task: estimating the revenue potential, behavioral response, and distributional and welfare consequences of site user fees. ...
We also consider optimal user fees in the spirit of Ramsey (1927) and demonstrate how the new insights from Banzhaf and Smith (2021) can empirically inform discussions of user fees. ...
First, we find that there is substantial heterogeneity across destinations in the responsiveness of trip demand to travel cost. ...
doi:10.3368/le.98.3.090721-0107
fatcat:pwcflrldjvgsfbgqycx2bpszm4
An optimal deployable bandwidth aggregation system
2013
Computer Networks
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It also highlights the significant enhancements in the response time introduced by DBAS, which directly enhances the user experience. ...
demand. ...
Application Response Time: It is the average data transmission delay needed for a connection from this application to finish its data demand. ...
doi:10.1016/j.comnet.2013.07.012
fatcat:ickv2kbb7zduhjat2u4nafond4
DBAS: A Deployable Bandwidth Aggregation System
[article]
2012
arXiv
pre-print
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demand. ...
The explosive increase in data demand coupled with the rapid deployment of various wireless access technologies have led to the increase of number of multi-homed or multi-interface enabled devices. ...
It is responsible for reordering the incoming data chunks from different interfaces in order to pass them on to the application layer at the receiving end. ...
arXiv:1201.2760v1
fatcat:xklz4fe6q5bttcuhttjgmvfozi
Dynamic road pricing and the value of time and reliability
2017
Journal of Regional Science
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Drivers primarily value travel reliability over time savings, although there is heterogeneity in the relative values of time and reliability based on time of day and destination to or from work. ...
In this paper we estimate the behavioral response of drivers to dynamic pricing in a HOT lane. ...
Figure 4 presents the income from the survey of HOT users compared to our estimate of the income of all SR167 users from the weighted census data. ...
doi:10.1111/jors.12362
fatcat:zuw33uxsvbbtffcwn5mkbllslm
Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility
2012
IEEE Journal on Selected Areas in Communications
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Together, these two algorithms allow the provider to dynamically adjust the offered prices based on user behavior. ...
Consumers' willingness to shift their device usage is modeled probabilistically, with parameters that can be estimated from real data. ...
scheduling flexibility from time-varying aggregate demand data. ...
doi:10.1109/jsac.2012.120706
fatcat:abemxd6qhbeb7f56tg4na5wvju
Performance Assessment of Black Box Capacity Forecasting for Multi-Market Trade Application
2017
Energies
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With the growth of renewable generated electricity in the energy mix, large energy storage and flexible demand, particularly aggregated demand response is becoming a front runner as a new participant in ...
Black box machine learning approaches have been proven to accurately estimate the available capacity of a cluster of heating devices using only aggregated data. ...
Introduction Residential aggregated demand response is a growing topic in the electricity sector. ...
doi:10.3390/en10101673
fatcat:kuqmyr3m55cczbgrg6hd2zf4gm
Estimating Heterogeneous Treatment Effects in Residential Demand Response
[article]
2018
arXiv
pre-print
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Next, we leverage causal decision trees to detect treatment effect heterogeneity across users by incorporating census data. ...
We evaluate the causal effect of hour-ahead price interventions on the reduction in residential electricity consumption using a data set from a large-scale experiment on 7,000 households in California. ...
The estimated ATE is −0.10 kWh (11%) per Demand Response event and household. ...
arXiv:1710.03190v5
fatcat:dkhnyoplzja3xabzt3idvnvlsu
Business capital accumulation and the user cost: Is there a heterogeneity bias?
2018
Journal of macroeconomics
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Empirical models of capital accumulation estimated on aggregate data series are based on the assumption that capital asset types respond in the same way to cost variables. ...
Likewise, aggregate models do not consider potential heterogeneity in investment behavior originating on the demand side for capital, e.g. at the sector level. ...
As such, it departs from the bulk of the literature on the substitution elasticity, based on aggregate data (Schaller, 2006; Caballero, 1997; Bond and Xing, 2015) . ...
doi:10.1016/j.jmacro.2017.12.004
fatcat:bqbwptpe45bl3bdyqnudhxxgrq
Unified Control Strategy of Heterogeneous Thermostatically Controlled Loads with Market-based Mechanism
2020
Journal of Modern Power Systems and Clean Energy
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Then, the separate demand curve construction strategies based on a virtual price for different types of TCLs are presented. ...
The first advantage is that the demand curve-oriented approach makes it possible to form a unified control scheme for heterogeneous loads without identifying their different characteristics. ...
Effect of Model Errors IVAs' demand curve is constructed based on the characteristic power derived from the physical model. ...
doi:10.35833/mpce.2018.000828
fatcat:qmvqr6vrwngkla7pfgoixxrmzu
The cost of capital, finance and high‐tech investment
2008
International Review of Applied Economics
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However, most of the evidence to date is based on aggregate user cost data, which may have introduced downward biases in the estimated user cost. ...
Investment is the most volatile component of aggregate demand and it is often considered central to business cycles fluctuations. ...
However, most of the evidence to date is based on aggregate user cost data, which may have introduced downward biases in the estimated user cost. ...
doi:10.1080/02692170802407635
fatcat:qxigisobpnb2dg5oorg3gps2pe
A framework for resource discovery in pervasive computing for mobile aware task execution
2004
Proceedings of the first conference on computing frontiers on Computing frontiers - CF'04
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Pervasive computing is characterized by execution of high-level user tasks in heterogeneous environments that use invisible and ubiquitously distributed computational devices. ...
This requires seamless aggregation of resources/services required for the execution of the task. ...
Categorization of resources based on its location thus encompass two fundamental problems that resource aggregation protocols should concentrate. ...
doi:10.1145/977091.977103
dblp:conf/cf/KalapriyaNSMS04
fatcat:fsv6b2t4tjc6deexmvylzyn5e4
OPERETTA: An optimal energy efficient bandwidth aggregation system
2012
2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)
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To date, these interfaces are mainly utilized one at a time based on network availability, cost, and user-choice. ...
The widespread deployment of varying networking technologies, coupled with the exponential increase in end-user data demand, have led to the proliferation of multi-homed or multi-interface enabled devices ...
It is responsible for reordering the incoming data chunks from different interfaces in order to pass them on to the application layer at the receiving end. ...
doi:10.1109/secon.2012.6275768
dblp:conf/secon/HabakHY12a
fatcat:edulumim45crdkchmf66wo4zlu
From federated to aggregated search
2010
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10
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How to merge results retrieved from several collections, to return one list of results to the users? ...
Recap -Introduction
federated
search
aggregated
search
heterogeneity
low
high
scale
(documents,
users)
small
large
user feedback
little
a lot
Terminology
1. federated search, ...
doi:10.1145/1835449.1835682
dblp:conf/sigir/DiazLS10
fatcat:iu5htgjzjfc37frmmhbnbastki
Effects of Ad-hoc Data Truncation and Homogeneous Preferences on Recreational Demand and Values: An Application to the George Washington and Jefferson National Forests
2021
Journal of Agricultural and Applied Economics
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The resulting demand functions, price responsive behaviors, and consumer surplus estimates reflect differences across these classes of visitors. ...
We show that the constraints of ad-hoc truncation and homogenous preferences significantly impact consumer surplus estimates derived from the on-site travel cost model. ...
Boyle for their detailed comments on an earlier draft of the manuscript. ...
doi:10.1017/aae.2020.30
fatcat:dfdj5mssgbdwlom3behvawucna
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