Annual load forecasting is very important for the electric power industry. As influenced by
various factors, an annual load curve shows a non-linear characteristic, which demonstrates …

An operating entity utilizing community-integrated energy systems with a large number of
small-scale distributed energy sources can easily trade with existing distribution markets. To …

JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

This study contributes to construct the mathematical model of hybrid dynamic economic
emission dispatch (HDEED) considering renewable energy generation and propose a novel …

In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

This paper evaluates the design and optimization of an islanded hybrid microgrid for various
load dispatch strategies by assessing the optimal sizing of each component, the power …

Grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the
swarming behavior of grasshoppers. The present study introduces chaos theory into the …

The growing costs of fuel and operation of power generating units warrant improvement of
optimization methodologies for economic dispatch (ED) problems. The practical ED …

This paper presents an efficient approach for solving economic dispatch (ED) problems with
nonconvex cost functions using an improved particle swarm optimization (IPSO). Although …

Strategic planning for optimal operation of modern power systems has always been a
significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the …