Short-Term Power Load Forecasting via Recurrent Neural Network with Similar Day Selection

With the increase of the penetration rate of renewable energy generation, the smart grid system needs to be more intelligent, flexible and interactive. Load forecasting, especially the short-term load forecasting for power users, is playing an important role in the future grid planning and operation. Aiming at dealing the strong randomness and low prediction accuracy of short-term load forecasting...