Application and Comparative Study of Machine Learning Techniques in Short-term Power Prediction of Wind and Photovoltaic Power Generation Svstems
Short-term power prediction focusing on wind and photovoltaic(PV)power generation systems is investigated,and the potential of machine learning techniques in improving prediction accuracy is explored.The study shows that machine learning techniques,especially deep learning methods,have significant potential for application in the field of wind and photovoltaic power prediction,providing new tools and methods for the stable operation and effective management of energy systems.
wind power predictionmachine learningrandom forestlimit learning machinesupport vector machinedeep learning
NETL
NSTL
万方数据
