A survey on firefly algorithms
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …
literature has expanded significantly in the past few years. This paper provides a timely …
Online Learning-Based ANN Controller for a Grid-Interactive Solar PV System
MM Irfan, S Malaji, C Patsa, SS Rangarajan… - Applied Sciences, 2021 - mdpi.com
The technology transformation of industry 4.0 comprises computers, power converters such
as variable speed devices, and microprocessors, which distract from the quality of power …
as variable speed devices, and microprocessors, which distract from the quality of power …
[HTML][HTML] Nature-inspired swarm intelligence algorithms for optimal distributed generation allocation: A comprehensive review for minimizing power losses in …
Q Nizamani, AA Hashmani, ZH Leghari… - Alexandria Engineering …, 2024 - Elsevier
The continuous increase in energy demand strains distribution networks, resulting in
heightened power losses and a decline in overall performance. This negatively impacts …
heightened power losses and a decline in overall performance. This negatively impacts …
Optimal placement of distribution generation in radial distribution system using hybrid genetic dragonfly algorithm
Optimal placement of distributed generation (DG) is an essential task for distribution
companies in order to operate the distribution network in good operating conditions. Optimal …
companies in order to operate the distribution network in good operating conditions. Optimal …
Short term active power load prediction on a 33/11 kv substation using regression models
Electric power load forecasting is an essential task in the power system restructured
environment for successful trading of power in energy exchange and economic operation. In …
environment for successful trading of power in energy exchange and economic operation. In …
Shapley value cooperative game theory-based locational marginal price computation for loss and emission reduction
V Veeramsetty - Protection and Control of Modern Power …, 2021 - ieeexplore.ieee.org
An iterative method based on Shapley Value Cooperative Game Theory is proposed for the
calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a …
calculation of local marginal price (LMP) for each Distributed Generator (DG) bus on a …
Optimal placement of distributed generation based on power quality improvement using self-adaptive lévy flight jaya algorithm
The optimal placement of distributed generation (DG) is a critical task for distribution
companies in order to keep the distribution network running smoothly. The optimal …
companies in order to keep the distribution network running smoothly. The optimal …
State of art on: Features extraction, recognition and detection of currency notes
Currency has become absolutely necessary part in human life. At present recognition of
counterfeit and real currency notes is very important. If the application learns to classify the …
counterfeit and real currency notes is very important. If the application learns to classify the …
Optimal placement of distributed generation based on DISCO's financial benefit with loss and emission reduction using hybrid Jaya–Red Deer optimizer
The optimal location of distributed generation (DG) is a critical challenge for distribution firms
in order to keep the distribution network running smoothly. The optimal placement of DG …
in order to keep the distribution network running smoothly. The optimal placement of DG …
Locational marginal price computation in radial distribution system using self adaptive levy flight based jaya algorithm and game theory
This study presents a computational approach to compute locational marginal price (LMP) at
distributed generation (DG) buses in an electric power distribution system using self …
distributed generation (DG) buses in an electric power distribution system using self …