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CNKI期刊论文0611(14)
在“
Elsevier电子期刊
”中,
命中:
251
条,耗时:小于0.01 秒
在所有数据库中总计命中:
7,677
条
1.
The Rural
House
hold Multi-Indicator Survey (RHoMIS) for rapid characterisation of
house
holds to inform climate
smart
agriculture interventions: Description and applications in East Africa and Central America
作者:
James Hammond
a
;
b
;
Simon Fraval
c
;
Jacob van Etten
d
;
Jose Gabriel Suchini
e
;
Leida Mercado
e
;
Tim Pagella
a
;
b
;
Romain Frelat
c
;
Mats Lannerstad
c
;
Sabine Douxchamps
c
;
Nils Teufel
c
;
Diego Valbuena
f
;
g
;
Mark T. van Wijk
c
;
m.vanwijk@cgiar.org
关键词:
Farm
house
hold
;
Smallholder farming
;
Multiple indicators
;
Monitoring
刊名:Agricultural Systems
出版年:2017
2.
An adaptive fuzzy logic system for residential energy management in
smart
grid environments
作者:
Azim Keshtkar
;
akeshtka@sfu.ca
;
Siamak Arzanpour
arzanpour@sfu.ca
关键词:
Adaptive fuzzy logic
;
Autonomous systems
;
Residential Energy management systems
;
Smart
grids
;
Smart
thermostats
;
Time-varying pricing
;
Wireless sensor networks
刊名:Applied Energy
出版年:2017
3.
Understanding commuting patterns using transit
smart
card data
作者:
Xiaolei Ma
a
;
b
;
1
;
xiaolei@buaa.edu.cn
;
Congcong Liu
b
;
vincent_liu@buaa.edu.cn
;
Huimin Wen
c
;
d
;
1
;
wenhm@bjtrc.org.cn
;
Yunpeng Wang
b
;
ypwang@buaa.edu.cn
;
Yao-Jan Wu
e
;
yaojan@email.arizona.edu
关键词:
Commuting
;
Human mobility
;
Public transportation
;
Travel behavior
;
Transit
smart
card data
刊名:Journal of Transport Geography
出版年:2017
4.
An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in
smart
grid
作者:
Mohammad Shakeri
a
;
Mohsen Shayestegan
a
;
Hamza Abunima
a
;
S.M. Salim Reza
a
;
M. Akhtaruzzaman
b
;
A.R.M. Alamoud
c
;
Kamaruzzaman Sopian
b
;
Nowshad Amin
a
;
b
;
c
;
nowshad@ukm.edu.my
;
nowshadamin@yahoo.com
关键词:
Power distribution
;
Smart
grid
;
Demand response
;
Home energy management systems (HEMS)
;
Smart
appliance
刊名:Energy and Buildings
出版年:2017
5.
House
hold monthly electricity consumption pattern mining: A fuzzy clustering-based model and a case study
作者:
Kaile Zhou
a
;
b
;
zhoukaile@hfut.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
kailezhou@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Shanlin Yang
a
;
b
;
Zhen Shao
a
关键词:
Electricity consumption pattern
;
House
holds
;
Fuzzy clustering
;
Smart
grid
刊名:Journal of Cleaner Production
出版年:2017
6.
Automated roof window control system to address overheating on renovated
house
s: Summertime assessment and intercomparison
作者:
Theofanis Psomas
a
;
tp@civil.aau.dk
;
th.psomas@gmail.com
;
Per Heiselberg
a
;
ph@civil.aau.dk
;
Thø
;
ger Lyme
b
;
lyme@visility.com
;
Karsten Duer
c
;
karsten.duer@velux.com
关键词:
Adaptive model
;
Control strategies
;
Residential building
;
Natural ventilation
;
Passive cooling
;
Shading control
;
Ventilative cooling
;
Smart
building
;
Thermal comfort
;
Indoor air quality
刊名:Energy and Buildings
出版年:2017
7.
ICT entertainment appliances’ impact on domestic electricity consumption
作者:
Mary Pothitou
a
;
marypothitou@yahoo.com
;
m.pothitou@pgr.reading.ac.uk
;
Richard F. Hanna
b
;
Konstantinos J. Chalvatzis
c
;
d
关键词:
ICT devices
;
TVs
;
Computers
;
Social practices
;
House
hold energy savings
刊名:Renewable and Sustainable Energy Reviews
出版年:2017
8.
A method for distinguishing appliance, lighting and plug load profiles from electricity ‘
smart
meter’ datasets
作者:
Dane George
;
Dane-George@dal.ca
;
dn639123@dal.ca
;
Lukas G. Swan
Lukas.Swan@dal.ca
关键词:
Appliance
;
Lighting
;
Plug-load
;
Electricity
;
Consumption
;
Time-step profile
;
Building
;
Energy
;
Simulation
;
Residential
刊名:Energy and Buildings
出版年:2017
9.
Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons
作者:
Nima Alibabaei
a
;
nima.alibabaei@ryerson.ca
;
Alan S. Fung
a
;
alanfung@ryerson.ca
;
Kaamran Raahemifar
b
;
kraahemi@ryerson.ca
;
Arash Moghimi
b
;
arash.moghimi@mail.utoronto.ca
关键词:
Advanced residential HVAC controller
;
Strategy planning models
;
Load shifting
;
Fuel switching system
;
Residential
house
s
刊名:Applied Energy
出版年:2017
10.
FIoT: An agent-based framework for self-adaptive and self-organizing applications based on the Internet of Things
作者:
Nathalia Moraes do Nascimento
;
nnascimento@inf.puc-rio.br" class="auth_mail" title="E-mail the corresponding author
;
nathyecomp@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Carlos José
;
Pereira de Lucena
lucena@inf.puc-rio.br" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Internet of things (IoT)
;
Multi-agent system
;
Machine learning
;
Self-organizing
;
Self-adaptive
;
Quantified things
刊名:Information Sciences
出版年:2017
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