Publication

Abstract : In the past research scholars, have tried to predict solar radiation for a short duration for power prediction. However, with increase in applications requiring predicted data for solar radiation need for long duration prediction has increased. Present work carried out by application of concurrent Neural Networks and lifting wavelet transform for long-term power prediction. A brief review of Neural Networks and second-generation wavelets carried out for their application in long-term solar radiation power generation. Algorithm developed and experiments conducted with results presented for long-term prediction of solar radiation. Results produced present quite accurate prediction for a duration up to three months.