Solar & Wind Energy Estimation and Forecasting Application N.K.GAIKWAD1, S.M.AGRAVAT2 1Gujarat Energy Research And Management Institute 2Gujarat Energy Research And Management Institute Contact: ninad.g@germi.res.in Introduction: Results: Fig. 4: Wind Energy Estimation App GUI. Fig. 10: Comparison of PVsyst and Solar Energy Estimation App. Fig. 1: Block Diagram – Ensemble Solar/Wind Power Forecasting. Fig. 5: ARIMA Model Identification App GUI. Fig. 11: Wind Plant Month-Wise Energy Estimation. Fig. 6: ANN Forecasting App GUI. Fig. 12: Comparison of Energy Prediction using ARIMA . Fig. 7: NETCDF-WRF Visualization & Extraction App GUI. Fig. 2: Organization Structure of Application. Fig. 13: Comparison of Energy Prediction using ANN. Developed GUI: Fig. 8: Data Pre-Post Processing App GUI. Fig. 14: Comparison of Energy Prediction using WRF. References: [1] Masters, G. M. (2004). Renewable and Efficient Electric Power Systems. Hoboken, New Jersey.: John Wiley & Sons. Fig. 3: Solar Energy Estimation App GUI. Fig. 9: 4 Node Raspberry-Pi 2 Cluster for Running WRF.