Open AccessWeather and Stochastic Forecasting Method for Generated Discharge Level Data at Sathanur Dam
Author(s) -
C.U. Tripura Sundari
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9981.0881019
Subject(s) - downscaling , autoregressive integrated moving average , environmental science , meteorology , statistics , mean squared error , econometrics , mathematics , time series , geography , precipitation
This article forecasts the future values using stochastic forecasting models for specified fitted values by using downscaling data, which are collected from Sathanoor Dam gauging site. Due to the demand of the water in this current scenario, this study analyzed the perdays Discharge level data collected from Sathanoor Dam where the outcome is predicted in a downscaling data sets in hydrology, extended Thomas –Fiering, ARIMA, MLE models, is used to estimate perdays discharge level data of each month. The error estimates RMSE, MAE of forecasts from above models is compared to identify the most suitable approaches for forecasting trend analysis.