Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Energy management is among the key components of smart metering. Its role is to balance
energy consumption and distribution. Smart devices integration results in a huge data …

The integration of the smart grid with the cloud computing environment promises to develop
an improved energy-management system for utility and consumers. New applications and …

In this study, an improved eliminate particle swarm optimization (IEPSO) is proposed on the
basis of the last‐eliminated principle to solve optimization problems in engineering design …

Distributed energy systems (DESs) are considered to be the future of energy systems
because of their inherent high efficiency, cost-effectiveness, energy-saving capability, and …

In this study, a hybrid stochastic model (BScA model) using Bayesian approach and
scenario analysis to forecast long term energy demand is developed. The main objective of …

Dimensionality of extracted feature vectors is one of the main problems in pattern
recognition area. In this paper, feature selection using particle swarm optimization (PSO) is …

From the growth of residential energy demands has emerged new approaches for load
scheduling to realize better energy consumption by shifting the required demand in …

Particle swarm optimization has been paid more attention in recent decades, since its
simplicity and effectiveness. Numerous variants of particle swarm optimization have been …