Research output

1. Short-Term Wind Power Forecasting Based on Gaussian Process Regression

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2. Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review

   Research output: Contribution to journal › Article › peer-review

3. The Selection of Machine Learning Model and Its Hyperparameters Using Bayesian Optimization for Short-Term Wind Power Forecasting: book chapter

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

View all (43) »