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CNKI期刊论文0611(19)
在“
Elsevier电子期刊
”中,
命中:
536
条,耗时:0.1079476 秒
在所有数据库中总计命中:
9,088
条
1.
A comprehensive analysis of the
Demand
Response
Program
proposed in Brazil based on the Tariff Flags mechanism
作者:
Delberis A. Lima
a
;
delberis@ele.puc-rio.br
;
Ricardo C. Perez
b
;
ricardo.cunhaperez2@gmail.com
;
Gabriel Clemente
a
;
b
;
ghclemente@gmail.com
关键词:
Demand
Response
Program
;
Tariff Flags
;
Price elasticity of
demand
;
System operation
刊名:Electric Power Systems Research
出版年:2017
2.
Optimal stochastic energy management of retailer based on selling price determination under smart grid environment in the presence of
demand
response
program
作者:
Sayyad Nojavan
;
sayyad.nojavn@tabrizu.ac.ir
;
Kazem Zare
kazem.zare@tabrizu.ac.ir
;
Behnam Mohammadi-Ivatloo
bmohammadi@tabrizu.ac.ir
关键词:
Selling price determination
;
Electricity retailer
;
Smart grid
;
Fixed pricing
;
Time-of-use pricing
;
Real-time pricing and
demand
response
program
刊名:Applied Energy
出版年:2017
3.
Demand
response
program
in Singapore’s wholesale electricity market
作者:
Shengfeng Zhou
a
;
Shengfeng.zhou@dnvgl.com" class="auth_mail" title="E-mail the corresponding author
;
Zhen Shu
a
;
zhen.shu@dnvgl.com" class="auth_mail" title="E-mail the corresponding author
;
Yue Gao
b
;
ygao007@e.ntu.edu.sg" class="auth_mail" title="E-mail the corresponding author
;
Hoay Beng Gooi
b
;
ehbgooi@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding author
;
Shuaixun Chen
a
;
shuaixun.chen@dnvgl.com" class="auth_mail" title="E-mail the corresponding author
;
Kelvin Tan
a
;
kelvin.tan@dnvgl.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Singapore electricity market
;
Market clearing model (MCM)
;
Market clearing price (MCP)
;
Demand
response
(DR)
;
Incentive payment
;
Linear
program
ming (LP)
刊名:Electric Power Systems Research
出版年:2017
4.
An overview of
Demand
Response
: Key-elements and international experience
作者:
Nikolaos G. Paterakis
a
;
Ozan Erdinç
;
b
;
c
;
Joã
;
o P.S. Catalã
;
o
c
;
d
;
e
;
catalao@ubi.pt
关键词:
Demand
Response
;
Renewable energy sources
;
Benefits and barriers
;
Enabling technologies
;
Practical evidence
刊名:Renewable and Sustainable Energy Reviews
出版年:2017
5.
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
6.
Optimal use of incentive and price based
demand
response
to reduce costs and price volatility
作者:
Ailin Asadinejad
;
aasadine@utk.edu
;
Kevin Tomsovic
ktomsovi@tennessee.edu
关键词:
Customer tariff
;
Incentive-based DR
;
Incentive payment
;
Peak and off-peak tariff
;
Price-based DR
;
Price volatility
刊名:Electric Power Systems Research
出版年:2017
7.
Rational consumer decisions in a peak time rebate
program
作者:
José
;
Vuelvas
vuelvasj@javeriana.edu.co
;
Fredy Ruiz
;
ruizf@javeriana.edu.co
关键词:
Demand
response
;
Peak time rebate
;
Stochastic
program
ming
;
Baseline
刊名:Electric Power Systems Research
出版年:2017
8.
Demand
side management using DADR automation in the peak load reduction
作者:
Szymon Werminski
a
;
s.werminski@iee.uz.zgora.pl" class="auth_mail" title="E-mail the corresponding author
;
Marcin Jarnut
a
;
Grzegorz Benysek
a
;
Jacek Bojarski
b
关键词:
Power system efficiency
;
Decentralized
demand
side management
;
Peak load reduction
;
Load shifting
;
Thermostatically controlled loads
刊名:Renewable and Sustainable Energy Reviews
出版年:2017
9.
Energy management in microgrid based on the multi objective stochastic
program
ming incorporating portable renewable energy resource as
demand
response
option
作者:
Vahid Sohrabi Tabar
;
Mehdi Ahmadi Jirdehi
;
m.ahmadi@kut.ac.ir
;
Reza Hemmati
关键词:
Augmented Epsilon-constraint method
;
Microgrid
;
Multi objective
program
ming
;
Portable renewable energy resource
;
Stochastic
program
ming
刊名:Energy
出版年:2017
10.
Making legacy thermal storage heating fit for the smart grid
作者:
P.J. Boait
a
;
p.boait@dmu.ac.uk
;
J.R. Snape
a
;
jsnape@dmu.ac.uk
;
S.J. Darby
b
;
sarah.darby@ouce.ox.ac.uk
;
J. Hamilton
c
;
e.j.hamilton@pgr.reading.ac.uk
;
R.J.R. Morris
d
;
robin@energylocal.co.uk
关键词:
Thermal storage
;
Demand
response
;
Time-of-day tariff
;
Electric heating
;
Smart meter
刊名:Energy and Buildings
出版年:2017
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