Short-Term Load Forecasting of Microgrid by a New Advanced Prediction Strategy

Due to the complexity and volatility of microgrid load sequence, this paper proposes an Adaptive Neuro-fuzzy inference system (ANFIS) prediction algorithm using Quantum Particle Swarm Optimization (QPSO) to optimize the network parameters, combining with Wavelet analysis method for preprocessing. The example shows that the proposed approach to microgrid load forecasting is both novel and effective, can improve the accuracy of load prediction.