1. 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:
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.