Artificial intelligent techniques for solar energy generation & household load forecasting

In this paper, two short-term power prediction method based on singular spectrum analysis (SSA) and Stacking ensemble learning framework have been proposed. A household load forecasting method based on multiple cycles self-boosted neural network named as MultiCycleNet was also proposed. Simulation results have been used to demonstrate the benefits for the methods.