Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …

In this paper, a new technique of optimization known as Moth-Flam Optimizer (MFO) has
been proposed to solve the problem of the Optimal Power Flow (OPF) in the interconnected …

The optimal power flow is highly constrained, nonlinear, and non-convex optimization
problem of power system. This paper proposed multi-objective grey wolf optimizer …

Speech to text was one of speech recognition applications which speech signal was
processed, recognized and converted into a textual representation. Hidden Markov model …

Optimal power flow (OPF) is to find steady state operation point which minimizes generation
cost, loss etc. or maximizes loadability in power system, which improves the system …

As the size of the Web continues to grow, searching it for useful information has become
more difficult. Focused crawler intends to explore the Web conform to a specific topic. This …

In the literature on optimal power flow (OPF), it has been shown that the suggested ways
offer a higher degree of satisfaction in optimizing overall production costs while fulfilling …

The target of stand-alone hybrid power generation system was to supply the load demand
with high reliability and economically as possible. An intelligent optimization technique …

This paper discusses the formation of an appropriate regression model in precipitation
prediction. Precipitation prediction has a major influence to multiply the agricultural …

Abstract Background/Objectives: This paper proposed the Optimal Location and
Improvement of Voltage Stability in Electrical power transmission lines using Unified Power …