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@article{152693,
        author = {J. Vijaychandra and B. Sesha Sai and K. Veda Prakash and D. Narendra Kumar and K. Dinesh},
        title = {Envision of Solar Photovoltaic Module Parameters using AI Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {4},
        pages = {198-202},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152693},
        abstract = {The necessity of power demand is raising in the present-day world and hence the entire world is turning towards alternating energy resources due to the fact that the conventional energy resources are going to be extinct in future. Nowadays a huge research is going on in every corner of the world to find out the best possible ways in order to meet the power demand at the end and the researchers strongly believe that Solar energy is one of the best renewable energy resources. There are various parameters to be taken into consideration while using solar PV modules in the real time applications. The AI techniques nowadays playing an important role in solving many complex problems. In this paper, Artificial neural network is used in order to predict the solar PV module parameters. The Simulation was performed using NNTOOL in MATLAB/SIMULINK software.},
        keywords = {Artificial neural networks, Solar pv module},
        month = {},
        }