Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 15, Pages: 1-6
P. Srikanth1*, D. Rajeswara Rao2 and P. Vidyullatha1
1KL University, Guntur – 522502, Andhra Pradesh, India; [email protected], [email protected] 2Department of Computer Science and Engineering, KL University, Guntur – 522502, Andhra Pradesh, India; [email protected]
*Author of Corresponding: P. Srikanth KL University, Guntur – 522502, Andhra Pradesh, India; [email protected]
Background/Objectives: Weather forecasting is to facilitate the appliance of knowledge and tools to predict the state of the atmosphere for a future time at a given location. Methods/Statistical Analysis: This paper focused to forecast the weather conditions on Indian weather conditions using three approaches such as ANFIS, ARIMA and polynomial curve fitting. It’s disbursed by collection quantitative information regarding state of the atmosphere and past and/or present experiences. Findings: In this analysis, this work reveals the superior performance of polynomial curve fitting through the SSE, RMSE, MAE and R2 .
Keywords: ANFIS, ARIMA, Curve Fitting, MAE, RMSE, R2, SSE, Weather Forecasting
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