Forecasting of Rain Amount for Telangana for the Monsoon Year 2021 | Asian Journal of Pure and Appli

Four approaches are employed in this study to forecast monthly rain levels for Telangana, a drought-prone region of India. To get at the result, the work employs four distinct yet independent methodologies. The Root Mean Square (RMS) approach, the Artificial Neural Network (ANN) method, the Fast Fourier Transform (FFT) method, and the Time Series method are the four methods. The forecast is based on a 32-year rainfall record.

The benefit of this method of predicting rain amount is that the result is based on a larger region of possible final real value evaluation. Second, the estimates can be done around 7 months ahead of the following rainy season to aid in planning.

Please see the link :- https://globalpresshub.com/index.php/AJPAM/article/view/964