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Elsevier电子期刊(21)
在“
Elsevier电子期刊
”中,
命中:
21
条,耗时:小于0.01 秒
在所有数据库中总计命中:
21
条
1.
Autonomous operation and control of photovoltaic/solid oxide fuel cell/battery energy storage based microgrid using fuzzy logic controller
作者:
T. Vigneysh
;
vigneysh@live.com" class="auth_mail" title="E-mail the corresponding author
;
N.
Kumarappan
kumarappan
n@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Autonomous microgrid
;
Distributed generation
;
Photovoltaic
;
Fuel cell
;
Energy storage
;
Fuzzy logic controller
刊名:International Journal of Hydrogen Energy
出版年:2016
2.
Protective effect of phages on experimental V. parahaemolyticus infection and immune response in shrimp (Fabricius, 1798)
作者:
Kumarappan
Alagappan
a
;
b
;
alagumicro@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author
;
Valliappan Karuppiah
c
;
Balaraman Deivasigamani
a
关键词:
Shrimp
;
Vibrio parahaemolyticus
;
Bacteriophage
;
Phage therapy
;
Feed
;
Water
;
Immune system
刊名:Aquaculture
出版年:2016
3.
Phenazine-1-carboxylic acid-induced programmed cell death in human prostate cancer cells is mediated by reactive oxygen species generation and mitochondrial-related apoptotic pathway
作者:
Valliappan Karuppiah
a
;
b
;
vkactinobacteria@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Kumarappan
Alagappan
c
;
Kannan Sivakumar
b
;
Lakshmanan Kannan
b
关键词:
Phenazine-1-carboxylic acid
;
Streptomyces
;
Prostate cancer
;
Programmed cell death
;
Reactive oxygen species
;
Mitochondria
刊名:Journal of Applied Biomedicine
出版年:2016
4.
Day-ahead deregulated electricity market price forecasting using neural network input featured by DCT
作者:
S. Anbazhagan
;
N.
Kumarappan
关键词:
Electricity price forecasting
;
Discrete cosine transforms
;
Feed-forward neural network
;
Deregulated electricity market
刊名:Energy Conversion and Management
出版年:February, 2014
5.
Optimal reliability planning for a composite electric power system based on Monte Carlo simulation using particle swarm optimization
作者:
R. Ashok Bakkiyaraj
;
auashok@gmail.com
;
N.
Kumarappan
kumarappan
_n@hotmail.com
关键词:
Composite power system
;
Reliability planning
;
Monte Carlo simulation
;
Particle swarm optimization
;
Reliability index
刊名:International Journal of Electrical Power and Energy Systems
出版年:2013
6.
Hybrid improved binary particle swarm optimization approach for generation maintenance scheduling problem
作者:
K. Suresh
a
;
b
;
sureshkaliyamoorthy@yahoo.co.in
;
N.
Kumarappan
a
;
b
关键词:
Maintenance scheduling
;
Stochastic levelized risk method
;
Hybrid improved particle swarm optimization
;
Loss of load probability
刊名:Swarm and Evolutionary Computation
出版年:2013
7.
Particle swarm optimization based generation maintenance scheduling using probabilistic approach
作者:
K. Suresh
a
;
N.
Kumarappan
b
;
a
;
sureshkaliyamoorthy@yahoo.co.in
关键词:
Levelized risk method
;
Particle swarm optimization
;
Loss of load probability
;
Capacity outage probability table
刊名:Procedia Engineering
出版年:2012
8.
Effect of Biophytum sensitivum on streptozotocin and nicotinamide-induced diabetic rats
作者:
Prabu K Ananda
a
;
CT
Kumarappan
b
;
Sunil Christudas
c
;
sunilcology@yahoo.co.in
;
VK Kalaichelvan
a
关键词:
Biophytum sensitivum
;
Carbohydrate metabolism
;
Diabetes mellitus
;
Streptozotocin-nicotinamide
刊名:Asian Pacific Journal of Tropical Biomedicine
出版年:2012
9.
Day-ahead deregulated electricity market price classification using neural network input featured by DCT
作者:
S. Anbazhagan
;
s.anbazhagan@gmx.com
;
N.
Kumarappan
kumarappan
_n@hotmail.com
关键词:
Price forecasting
;
Discrete cosine transforms
;
Neural network
;
Electricity price classification
;
Electricity market
刊名:International Journal of Electrical Power and Energy Systems
出版年:2012
10.
A neural network approach to day-ahead deregulated electricity market prices classification
作者:
S. Anbazhagan
;
s.anbazhagan@gmx.com
;
N.
Kumarappan
kumarappan
_n@hotmail.com
关键词:
Electricity price classification
;
Feed forward neural network
;
Cascade-forward neural network
;
Generalized regression neural network
;
Forecasting
;
Electricity market
刊名:Electric Power Systems Research
出版年:2012
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