Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
Simulated annealing-based dynamic step shuffled frog lea** algorithm: Optimal performance design and feature selection
The shuffled frog lea** algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
The using of solar energy has been increased since it is a clean source of energy. In this
way, the design of photovoltaic cells has attracted the attention of researchers over the …
way, the design of photovoltaic cells has attracted the attention of researchers over the …
A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models
W Long, S Cai, J Jiao, M Xu, T Wu - Energy Conversion and Management, 2020 - Elsevier
Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …
very critical to simulate, evaluate and control the PV systems. During the past few years …
[HTML][HTML] Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme …
The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …
estimating the parameters based on its current—voltage relationships. However, due to the …
Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …
characteristic curves is significant for the simulation, evaluation, and control of PV systems …
Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
Accurate estimation of critical parameters of the photovoltaic models is a highly demanding
task in modeling and simulating the photovoltaic systems. In this research, a diversification …
task in modeling and simulating the photovoltaic systems. In this research, a diversification …
A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module
In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …
Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm
The massive integration of photovoltaic (PV) systems into electric power grids creates a slew
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …