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A novel meta-heuristic optimization algorithm based MPPT control technique for PV systems under complex partial shading condition
The need to combat the increase in global warming is well taken by solar energy lead
renewable energy resources. The techno-economic feasibility of solar systems in the form of …
renewable energy resources. The techno-economic feasibility of solar systems in the form of …
Solar photovoltaic converter controller using opposition-based reinforcement learning with butterfly optimization algorithm under partial shading conditions
The major use of a power point tracking controller is to maximize or enhance the power
generation in photovoltaic systems. These systems are steered to operate and maximize the …
generation in photovoltaic systems. These systems are steered to operate and maximize the …
Towards green energy for sustainable development: Machine learning based MPPT approach for thermoelectric generator
The rapidly increasing demand for electrical energy and the depletion of fossil fuels ignited
research in renewable energy generation and management. Thermoelectric generation …
research in renewable energy generation and management. Thermoelectric generation …
Hybrid MPPT approach using Cuckoo Search and Grey Wolf Optimizer for PV systems under variant operating conditions
Photovoltaic (PV) systems are adversely affected by partial shading and non-uniform
conditions. Meanwhile, the addition of a bypass shunt diode to each PV module prevents …
conditions. Meanwhile, the addition of a bypass shunt diode to each PV module prevents …
Comparison of deep learning and regression-based MPPT algorithms in PV systems
Solar energy systems (SES) and photovoltaic (PV) modules should be operated at the
maximum power point (MPP) to achieve the highest efficiency in the energy generation …
maximum power point (MPP) to achieve the highest efficiency in the energy generation …
Chaotic adaptive sailfish optimizer with genetic characteristics for global optimization
Y Zhang, Y Mo - The Journal of Supercomputing, 2022 - Springer
The sailfish optimizer (SFO) is a new metaheuristic swarm intelligence optimization
algorithm based on the hunting behavior of biological groups, simulating the elite strategy of …
algorithm based on the hunting behavior of biological groups, simulating the elite strategy of …
Cleaner energy for sustainable future using hybrid photovoltaics-thermoelectric generators system under non-static conditions using machine learning based control …
In addition to the load demand, the temperature difference between the hot and cold sides of
the thermoelectric generator (TEG) module determines the output power for thermoelectric …
the thermoelectric generator (TEG) module determines the output power for thermoelectric …
Short term wind power prediction using Feedforward Neural Network (FNN) trained by a novel Sine-Cosine fused Chimp Optimization Algorithm (SChoA)
WIND power generation using wind energy conversion systems (WECS) integrated into the
power grid are prone to uncertainty in wind power production. The nonlinear nature of wind …
power grid are prone to uncertainty in wind power production. The nonlinear nature of wind …
Doa estimation in the presence of doppler shifts using quantum-inspired swarm intelligence algorithms
Direction of arrival (DOA) estimation is an important problem of wireless sensor network
(WSN) where the objective is to calculate the angle of incidence of the source signal at the …
(WSN) where the objective is to calculate the angle of incidence of the source signal at the …
Optimal control of centralized thermoelectric generation system under nonuniform temperature distribution using barnacles mating optimization algorithm
The need for renewable energy resources is ever-increasing due to the concern for
environmental issues associated with fossil fuels. Low-cost high-power-density …
environmental issues associated with fossil fuels. Low-cost high-power-density …