IDENTIFYING THE PARAMETERS OF PHOTOVOLTAIC CELLS USING GAUSSIAN BARE-BONE IMPERIALIST COMPETITIVE ALGORITHM WITH OPPOSITION-BASED LEARNING MECHANISM

Identifying the parameters of photovoltaic cells using Gaussian bare-bone imperialist competitive algorithm with opposition-based learning mechanism

Extracting the precise parameters of photovoltaic (PV) cells has become very important for simulation, evaluation, control, and optimization of PV systems.However, it is still a challenging task to accurately and reliably extract the parameters of PV cells.To solve this difficult problem, in this paper, a new meta-heuristic algorithm called Gaussia

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Instruments of Forestry Policy in Ukraine

The 27 inch cruiser board aim of the article is to study the theoretical bases and develop practical recommendations for the improvement of forestry policy instruments in Ukraine.The theoretical aspects of forming the forestry policy in Ukraine aimed at ensuring the competitiveness of the forestry sector are considered.The formulation of the forest

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