tag :: data power | BibSonomy

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1↯ Vegan Strom » Tierleidfreie Energie » Mehr als Öko
https://www.veganstrom.com/
4 years ago by @selm
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Lesezeichen-Symbolleiste
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data
power
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1Off-Grid Systems
http://offgridsystems.ch/
4 years ago by @selm
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power
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1infogargoyle Cool Solar
http://igargoyle.com/archives/000410.html
4 years ago by @selm
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Lesezeichen-Symbolleiste
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power
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1Startseite | Energy Charts
Single households? Microdata available?
7 years ago by @becker
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data
scicar
dataset
set
energy
power
datascicardatasetsetenergypower
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1Bahnblitze - locomotive classes
We are a young team of photographers from the Ruhr-Area and the Sauerland (Area between Lüdenscheid and Winterberg/Willingen). Our project is to show all existent german locomotive classes from the DB AG on that page. You will find also actually railway-news on the homepage.
13 years ago by @diesel_jan
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classes
data
description
irhhu
locomotive
power
series
train
classesdatadescriptionirhhulocomotivepowerseriestrain
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publications (hide)16
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1Realistic Benchmark Datasets for Team Formation Problem in Social Networks
B. Addanki, and B. Durga. 2023 5th International Conference on Recent Advances in Information Technology (RAIT), page 1-6. IEEE, (March 2023)
a year ago by @abrameshba
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bench-mark
data
law
myown
networks
of
popularity
power
problem
sets
skills
social
team
bench-markdatalawmyownnetworksofpopularitypowerproblemsetsskillssocialteam
(0)
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1Single Phase Electricity Meter
A. Çakir. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (7): 988-992 (January 2023)
2 years ago by @ijtsrd
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Electricity
consumption
data
electricity
instantaneous
meter
power
smart
Electricityconsumptiondataelectricityinstantaneousmeterpowersmart
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1Business Analytics using Microsoft Power BI and AWS Redshift
P. Dutta. International Journal of Trend in Scientific Research and Development, 3 (2): 984-986 (February 2019)
6 years ago by @ijtsrd
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AWS
Amazon
BI
Data
Power
Redshift
Service
Warehouse
Web
AWSAmazonBIDataPowerRedshiftServiceWarehouseWeb
(0)
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1Interplay of Communication and Computation Energy Consumption for Low Power Sensor Network Design
Z. Khan, and M. Shakir. International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC), 3 (4): 8 (August 2012)
6 years ago by @usmankhawaja
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Communication
Computation
Consumption
Design
Energy
Low
Networks
Power
Real-time
Sensor
Wireless
data
delivery
versus
CommunicationComputationConsumptionDesignEnergyLowNetworksPowerReal-timeSensorWirelessdatadeliveryversus
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1Data Injection using Kalman-Like Particle Filter Based Smoother is Diagonalized into Subsystem
S. E. International Journal of Trend in Scientific Research and Development, 2 (2): 1051-1058 (February 2018)
6 years ago by @ijtsrd
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(PMU)
Computer
Engineering
Interarea
Kalman
data
filter
fusion
measurement
model
multisensor
oscillation
phasor
power
prediction
stability
synchrophasor
system
track-level
unit
(PMU)ComputerEngineeringInterareaKalmandatafilterfusionmeasurementmodelmultisensoroscillationphasorpowerpredictionstabilitysynchrophasorsystemtrack-levelunit
(0)
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1WAVELET TRANSFORM BASED DATA COMPRESSION FOR REAL TIME POWER QUALITY DISTURBANCES
S. Gawre, N. Patidar, and R. Nema. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE), volume 2 of IFIP Advances in Information and Communication Technology, page 21-30. http://airccse.com/ijaceee/papers/2314ijaceee02.pdf, (August 2014)
7 years ago by @electical12345
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Data
Power
Real
Wavelet
analysis
coefficient
compression
energy
monitoring
quality
signals
time
DataPowerRealWaveletanalysiscoefficientcompressionenergymonitoringqualitysignalstime
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19Power-law distributions in empirical data
A. Clauset, C. Shalizi, and M. Newman. SIAM review, 51 (4): 661--703 (2009)
8 years ago by @becker
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citedby:scholar:count:5051
citedby:scholar:timestamp:2017-4-11
data
diss
distribution
fit
human
inthesis
law
likelihood
mobility
p
p-value
power
ratio
significance
statistic
statistical
statistics
test
value
citedby:scholar:count:5051citedby:scholar:timestamp:2017-4-11datadissdistributionfithumaninthesislawlikelihoodmobilitypp-valuepowerratiosignificancestatisticstatisticalstatisticstestvalue
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2Points of significance: Power and sample size
M. Krzywinski, and N. Altman. Nature Methods, 10 (12): 1139--1140 (December 2013)
8 years ago by @yourwelcome
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Power
Publishing,
Tutorial
analysis,
data
visualization,
PowerPublishing,Tutorialanalysis,datavisualization,
(0)
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15Power-law distributions in empirical data
A. Clauset, C. Shalizi, and M. Newman. (2007)cite arxiv:0706.1062Comment: 43 pages, 11 figures, 7 tables, 4 appendices; code available at http://www.santafe.edu/~aaronc/powerlaws/.
8 years ago by @ans
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data
distribution
empirical
law
power
datadistributionempiricallawpower
(0)
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15Power-law distributions in empirical data
A. Clauset, C. Shalizi, and M. Newman. (2007)cite arxiv:0706.1062Comment: 43 pages, 11 figures, 7 tables, 4 appendices; code available at http://www.santafe.edu/~aaronc/powerlaws/.
10 years ago by @stumme
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data
distribution
distributions
empirical
law
power
powerlaw
datadistributiondistributionsempiricallawpowerpowerlaw
(0)
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2Efficient power control via pricing in wireless data networks
C. Saraydar, N. Mandayam, and D. Goodman. IEEE Transactions on Communications, 50 (2): 291 -303 (2002)
12 years ago by @chsivic
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Nash
algorithms;pricing
communication;distributed
communications
communications;wireless
control
control;
control;efficient
control;game
control;quality
data
equilibrium;Pareto
function;quality
game;power
implementation;distributed
improvement;QoS;base
loaded
management;transmit
networks;tariffs;telecommunication
networks;wireless
of
power
pricing;user
resource
service;radio
services;wireless
station;distributed
system;noncooperative
systems;wireless
terminal;costing;data
theory;heavily
theory;power
utilities;voice
Nashalgorithms;pricingcommunication;distributedcommunicationscommunications;wirelesscontrolcontrol;control;efficientcontrol;gamecontrol;qualitydataequilibrium;Paretofunction;qualitygame;powerimplementation;distributedimprovement;QoS;baseloadedmanagement;transmitnetworks;tariffs;telecommunicationnetworks;wirelessofpowerpricing;userresourceservice;radioservices;wirelessstation;distributedsystem;noncooperativesystems;wirelessterminal;costing;datatheory;heavilytheory;powerutilities;voice
(0)
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1Power control for wireless data
D. Goodman, and N. Mandayam. Personal Communications, IEEE, 7 (2): 48-54 (April 2000)
12 years ago by @chsivic
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Nash
Pareto
QoS,
access,
algorithm,
cellular
code
communication,
communicationCDMA
communications,
control
control,
data
distributed
division
economics,
efficient
equilibrium,
function
game
game,
information
mathematics,
maximization,
microeconomics,
mobile
multimedia
multiple
net
noncooperative
of
phones,
power
power,
price
proportional,
quality
radio
radio,
service,
sources,
telecommunication
telephone
telephone,
theory,
transmissions
transmitter
transmitters,
utility
utility-price,
voice
wireless
NashParetoQoS,access,algorithm,cellularcodecommunication,communicationCDMAcommunications,controlcontrol,datadistributeddivisioneconomics,efficientequilibrium,functiongamegame,informationmathematics,maximization,microeconomics,mobilemultimediamultiplenetnoncooperativeofphones,powerpower,priceproportional,qualityradioradio,service,sources,telecommunicationtelephonetelephone,theory,transmissionstransmittertransmitters,utilityutility-price,voicewireless
(0)
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1Environmental Trends and Opportunities for Computer System Power Delivery
E. Stanford. 20th International Symposium on Power Semiconductor Devices and IC's, page 1--3. (May 2008)
12 years ago by @alessandro
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aware
center;computer
computer
computing;
conversion
data
delivery;environmental
device;power
power
regulation;power
system
system;power
awarecenter;computercomputercomputing;conversiondatadelivery;environmentaldevice;powerpowerregulation;powersystemsystem;power
(0)
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1Efficient coherent adaptive representations of monitored electric signals in power systems using damped sinusoids
L. Lovisolo, E. da Silva, M. Rodrigues, and P. Diniz. Signal Processing, IEEE Transactions on, 53 (10): 3831 - 3846 (October 2005)
13 years ago by @procomun
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adaptive
algorithm;
algorithms;
analysis;
artifact;
coherent
compression;
damped
damping;
data
decomposition;
echo
electric
faults;
greedy
iterative
matching
methods;
monitoring;
post-echo
power
pre-echo
pursuit
representation;
signal
sinusoids;
suppression;
system
systems
systems;
time-frequency
transient
transients;
adaptivealgorithm;algorithms;analysis;artifact;coherentcompression;dampeddamping;datadecomposition;echoelectricfaults;greedyiterativematchingmethods;monitoring;post-echopowerpre-echopursuitrepresentation;signalsinusoids;suppression;systemsystemssystems;time-frequencytransienttransients;
(0)
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1The Development of Entrepreneurial Companies through Business Incubator Programs
H. Al-Mubaraki, and M. Busler. International Journal of Emerging Sciences, 1 (2): 95-107 (June 2011)
14 years ago by @ijes
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computing
data
design
grid
power
computingdatadesigngridpower
(0)
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15Power-law distributions in empirical data
A. Clauset, C. Shalizi, and M. Newman. (2007)cite arxiv:0706.1062 Comment: 43 pages, 11 figures, 7 tables, 4 appendices; code available at http://www.santafe.edu/~aaronc/powerlaws/.
15 years ago by @folke
show all tags
analysis
data
fit
law
power
analysisdatafitlawpower
(0)
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