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在“
自然资源管理
”中,
命中:
96
条,耗时:0.0589419 秒
1.
Uncertainty
modeling
in optimal operation of energy hub in presence of wind, storage and demand response
作者:
Samaneh Pazoukia
;
Mahmoud-Reza Haghifamb
;
haghifam@modares.ac.ir" class="auth_mail
;
Albert Moserc
关键词:
Energy hub
;
Smart grid
;
Distributed energy resources
;
Reliability
;
Gas emission
;
Stochastic programming
刊名:International Journal of Electrical Power and Energy Systems
年:41913
2.
A review on planning, configurations,
modeling
and optimization techniques of hybrid renewable energy systems for off grid applications
作者:
Rajanna Siddaiah
;
srajannamce@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
R.P. Saini
关键词:
HRES configurations
;
Planning
;
Economic
modeling
;
Reliability
modeling
;
Modeling
and optimization techniques
刊名:Renewable and Sustainable Energy Reviews
年:2016
3.
An efficient probabilistic-chronological matching
modeling
for DG planning and
reliability
assessment in power distribution systems
作者:
Majed A. Alotaibia
;
b
;
m2alotai@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author
;
M.M.A. Salamab
;
msalama@uwaterloo.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
DG planning
;
DG
reliability
evaluation
;
Rounding technique
;
Wind and PV states
;
k-means cluster
刊名:Renewable Energy
年:2016
4.
Photovoltaic electricity generator dynamic
modeling
methods for smart grid applications: A review
作者:
Sam Koohi-Kamalіa
;
sam.koohi@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
N.A. Rahima
;
H. Mokhlisa
;
b
;
V.V. Tyagic
关键词:
Renewable energy
;
Distributed generation
;
Solar PV plant
;
Power systems
;
Smart grid
刊名:Renewable and Sustainable Energy Reviews
年:2016
5.
Interpreting the cross-sectional flow field in a river bank based on a genetic-algorithm two-dimensional heat-transport method (GA-VS2DH)
作者:
Xiaoru Su
;
Longcang Shu
;
Xunhong Chen
;
Chengpeng Lu
;
Zhonghui Wen
关键词:
Flow field
;
River bank
;
GA
;
VS2DH
;
Inverse
modeling
;
Groundwater/surface
;
water relations
刊名:Hydrogeology Journal
出版者:Springer Berlin Heidelberg
年:2016
6.
Water Demand Modelling Using Independent Component Regression Technique
作者:
Md Mahmudul Haque
;
Amaury de Souza
;
Ataur Rahman
关键词:
Indepdent component regression
;
Principal component regression
;
Multiple linear regression
;
Water demand
;
Brazil
刊名:Water Resources Management
出版者:Springer Netherlands
年:2017
7.
Performance and Power-Aware
Modeling
of MPI Applications for Cluster Computing
关键词:
Performance model
;
Energy consumption
;
Cluster computing
;
MPI
刊名:Lecture Notes in Computer Science
出版者:Springer Berlin / Heidelberg
年:2016
8.
Reliability
modeling
of demand response considering uncertainty of customer behavior
作者:
Hyung-Geun Kwag
;
Jin-O Kim
;
jokim@hanyang.ac.kr" class="auth_mail
关键词:
Power market
;
Demand response
;
Demand resource
;
Reliability
;
Transition rate
;
Unavailability
刊名:Applied Energy
年:1 June, 2014
9.
A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems
作者:
Seyyed Mostafa Nosratabadi sm.nosratabadi@eng.ui.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Rahmat-Allah Hooshmand
;
hooshmand_r@eng.ui.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Hooshmand_r@yahoo.com" class="auth_mail" title="E-mail the corresponding author
;
Eskandar Gholipour e.gholipour@eng.ui.ac.ir" class="auth_mail" title="E-mail the corresponding author
关键词:
Demand response
;
Distributed energy resource
;
Microgrid
;
Renewable energy
;
Scheduling
;
Virtual power plant
刊名:Renewable and Sustainable Energy Reviews
年:2017
10.
Modeling
of renewable energy resources for generation
reliability
evaluation
作者:
Kunjana Chaiamarit
;
Somboon Nuchprayoon
关键词:
Effective load carrying capability
;
Generation
reliability
;
Loss of load probability
;
Renewable energy
刊名:Renewable and Sustainable Energy Reviews
年:2013
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