Jian Le

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

A review of deep learning for renewable energy forecasting

Review on deep learning applications in frequency analysis and control of modern power system

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

A review of applications of artificial intelligent algorithms in wind farms

A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing