A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques
The increasing energy prices and pollutants from fossil fuels that threaten the climate, there
is a growing preference for renewable energy. The implementation of hybrid renewable …
is a growing preference for renewable energy. The implementation of hybrid renewable …
Applications of artificial intelligence algorithms in the energy sector
H Szczepaniuk, EK Szczepaniuk - Energies, 2022 - mdpi.com
The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …
energy management, and distributed energy integration poses new requirements for …
Optimal allocation of multiple distributed generation units in power distribution networks for voltage profile improvement and power losses minimization
Distributed Generation (DG) integration into an existing electrical distribution system plays a
great role in combating power system profile problems associated with load growth …
great role in combating power system profile problems associated with load growth …
[HTML][HTML] A machine-learning-based robust classification method for PV panel faults
Renewable energy resources have gained considerable attention in recent years due to
their efficiency and economic benefits. Their proportion of total energy use continues to grow …
their efficiency and economic benefits. Their proportion of total energy use continues to grow …
A comprehensive analysis of demand response pricing strategies in a smart grid environment using particle swarm optimization and the strawberry optimization …
In the modern world, the systems getting smarter leads to a rapid increase in the usage of
electricity, thereby increasing the load on the grids. The utilities are forced to meet the …
electricity, thereby increasing the load on the grids. The utilities are forced to meet the …
A cost-effective multi-verse optimization algorithm for efficient power generation in a microgrid
Renewable energy sources (RESs) are a great source of power generation for microgrids
with expeditious urbanization and increase in demand in the energy sector. One of the …
with expeditious urbanization and increase in demand in the energy sector. One of the …
Modelling, solution and application of optimization techniques in HRES: From conventional to artificial intelligence
The escalating costs of electricity, coupled with the urgent environmental challenges posed
by fossil fuel consumption, underscore the necessity of transitioning to renewable energy …
by fossil fuel consumption, underscore the necessity of transitioning to renewable energy …
[HTML][HTML] Optimization of on-grid hybrid renewable energy system: A case study on Azad Jammu and Kashmir
Expansion of modern power systems due to increasing energy demands face the
challenges of grid reinforcement cost, size and complexity, transmission losses, and …
challenges of grid reinforcement cost, size and complexity, transmission losses, and …
[HTML][HTML] Intelligent Parcel Delivery Scheduling Using Truck-Drones to Cut down Time and Cost
In the evolving landscape of logistics, drone technology presents a solution to the
challenges posed by traditional ground-based deliveries, such as traffic congestion and …
challenges posed by traditional ground-based deliveries, such as traffic congestion and …
Parallel operated hybrid Arithmetic-Salp swarm optimizer for optimal allocation of multiple distributed generation units in distribution networks
The installation of Distributed Generation (DG) units in the Radial Distribution Networks
(RDNs) has significant potential to minimize active power losses in distribution networks …
(RDNs) has significant potential to minimize active power losses in distribution networks …