[HTML][HTML] Incentive mechanisms for smart grid: State of the art, challenges, open issues, future directions
Smart grids (SG) are electricity grids that communicate with each other, provide reliable
information, and enable administrators to operate energy supplies across the country …
information, and enable administrators to operate energy supplies across the country …
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …
Despite their popularity, most of them have uncertain, immature performance, partially done …
A survey on blockchain‐enabled smart grids: Advances, applications and challenges
Electric power grid infrastructure has revolutionized our world and changed the way of living.
So has blockchain technology. The hierarchical electric power grid has been shifting from a …
So has blockchain technology. The hierarchical electric power grid has been shifting from a …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
[HTML][HTML] Edge computing for iot-enabled smart grid: The future of energy
The explosive development of electrical engineering in the early 19th century marked the
birth of the 2nd industrial revolution, with the use of electrical energy in place of steam …
birth of the 2nd industrial revolution, with the use of electrical energy in place of steam …
Enhanced Harris hawks optimization with multi-strategy for global optimization tasks
Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …
Boosting quantum rotation gate embedded slime mould algorithm
The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems
This paper proposed a novel multi-objective non-sorted Harris Hawks Optimizer (NSHHO)
part of the recently developed Harris Hawks Optimizer (HHO) based on an elitist non …
part of the recently developed Harris Hawks Optimizer (HHO) based on an elitist non …
A new MPPT design using variable step size perturb and observe method for PV system under partially shaded conditions by modified shuffled frog leaping algorithm …
Renewable energies, particularly solar photovoltaic (PV) panels have been largely
integrated into power systems, mainly due to the fact that this technology is environmentally …
integrated into power systems, mainly due to the fact that this technology is environmentally …
[HTML][HTML] Double-target based neural networks in predicting energy consumption in residential buildings
A reliable prediction of sustainable energy consumption is key for designing environmentally
friendly buildings. In this study, three novel hybrid intelligent methods, namely the …
friendly buildings. In this study, three novel hybrid intelligent methods, namely the …