Deep learning algorithm applied to daily solar irradiation estimations

Deep learning is applied in many research areas, and in many of them remarkable outcomes are attained compared to conventional methods. There are quite a number of studies also in the estimation of solar irradiation. Estimation of solar irradiation is vitally important for the design of solar energy systems. In this work, multi-layer perceptron (MLPs) method of deep learning is used to develop an estimation method for calculating horizontal daily solar irradiation and the results are compared with classical approaches. The results indicate that deep learning with little inputs can be used to estimate daily solar irradiation with a decent accuracy that is comparable to classical approaches