Jagathy Raj, V P; Jasmin, E A; Imthias Ahamed, T P(ACEEE, May , 2010)
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Abstract:
Unit Commitment Problem (UCP) in power
system refers to the problem of determining the on/ off
status of generating units that minimize the operating cost
during a given time horizon. Since various system and
generation constraints are to be satisfied while finding the
optimum schedule, UCP turns to be a constrained
optimization problem in power system scheduling.
Numerical solutions developed are limited for small systems
and heuristic methodologies find difficulty in handling
stochastic cost functions associated with practical systems.
This paper models Unit Commitment as a multi stage
decision making task and an efficient Reinforcement
Learning solution is formulated considering minimum up
time /down time constraints. The correctness and efficiency
of the developed solutions are verified for standard test
systems
Description:
International J. of Recent Trends in Engineering and Technology, Vol. 3, No. 3, May 2010
Jagathy Raj, V P; Jasmin, E A; Imthias Ahamed, T P(IEEE, December 28, 2009)
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Abstract:
Unit commitment is an optimization task in electric
power generation control sector. It involves scheduling the
ON/OFF status of the generating units to meet the load demand
with minimum generation cost satisfying the different constraints
existing in the system. Numerical solutions developed are limited
for small systems and heuristic methodologies find difficulty in
handling stochastic cost functions associated with practical
systems. This paper models Unit Commitment as a multi stage
decision task and Reinforcement Learning solution is formulated
through one efficient exploration strategy: Pursuit method. The
correctness and efficiency of the developed solutions are verified
for standard test systems
Description:
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT'09. International Conference on
Jagathy Raj, V P; Suresh Kumar, B(IJWCNT, August , 2012)
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Abstract:
Now a days, email has become the most widely
communication way in daily life. The main reason for using
email is probably because of the convenience and speed in
which it can be transmitted irrespective of geographical
distances. To improve security and efficiency of email system,
most of the email system adopt PKI and IBE encryption
schemes. However, both PKI and IBE encryption schemes
have their own shortcomings and consequently bring security
issues to email systems. This paper proposes a new secure
email system based on IBE which combines finger print
authentication and proxy service for encryption and
decryption
Description:
International Journal of Wireless Communications and Networking Technologies,Volume 1, No.1, August- September 2012
Jagathy Raj, V P; Pramelakumari, K; Anand, S R; Jasmin, E A(IEEE, January 3, 2012)
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Abstract:
Short term load forecasting is one of the key inputs to
optimize the management of power system. Almost
60-65% of revenue expenditure of a distribution
company is against power purchase. Cost of power
depends on source of power. Hence any optimization
strategy involves optimization in scheduling power
from various sources. As the scheduling involves
many technical and commercial considerations and
constraints, the efficiency in scheduling depends on
the accuracy of load forecast.
Load forecasting is a topic much visited in research
world and a number of papers using different
techniques are already presented. The accuracy of
forecast for the purpose of merit order dispatch
decisions depends on the extent of the permissible
variation in generation limits. For a system with low
load factor, the peak and the off peak trough are
prominent and the forecast should be able to identify
these points to more accuracy rather than minimizing
the error in the energy content. In this paper an
attempt is made to apply Artificial Neural Network
(ANN) with supervised learning based approach to
make short term load forecasting for a power system
with comparatively low load factor. Such power
systems are usual in tropical areas with concentrated
rainy season for a considerable period of the year
Description:
Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on