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@article{152781,
        author = {Dr. B.Sarojamma and K.Geetha and Dr.S.Venkatramana Reddy},
        title = {Sama Circular Models for weather data},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {4},
        pages = {366-370},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152781},
        abstract = {Winds are usually referred to according to their strength and direction from which the wind is blowing. Forecast of wind speed reduces scheduling error and in turn increases reliability of electric power grid. Wind speed is a key parameter, it is important for monitoring and predicting weather patterns and global climate. It affects rates of evaporation, mixing of surface water and development of Seiches and storm surges. It helps to Wind Turbine which produces electricity. Unpredictability and Dispersion of wind power generation is one of fundamental difficulties faced by power system. In this paper, Sama Circular Models(SCM),  and Decomposition models are used for wind speed data. Accuracy is measured by SMAPE. SCM is modern, Univariate Forecasting Technique and  compared with the Decomposition Technique.},
        keywords = {Windspeed, Decomposition Model, Sama Circular Model, SMAPE},
        month = {},
        }