An international research team has used, for the first time, a powerful metaheuristic and a nature-inspired algorithm to improve the estimation of the parameters of PV cells and modules. The algorithm imitates the natural phenomenon of growth and uses the diffusion process, based on random fractals.
The Chinese conglomerate has revealed how it will further integrate artificial intelligence (AI) in its string devices this year. The approach includes the transformation of inverters into smart PV controllers, the development of AI inference modules and the creation of an AI training and inference platform. Machine learning will also be incorporated into operations and maintenance, grid management and PV plant design.
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