Yagang Zhang
IEEE Transactions on Sustainable Energy · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yagang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yagang Zhang's perspective
Ordered by how strongly the researchers Yagang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- A Statistical Model for Wind Power Forecast Error and its Application to the Estimation of Penalties in Liberalized Markets (IEEE Transactions on Power Systems)
- Probabilistic wind power forecasts using local quantile regression
- Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
- Statistical Representation of Wind Power Ramps Using a Generalized Gaussian Mixture Model (IEEE Transactions on Sustainable Energy)
- Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application
- Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability (IEEE Transactions on Sustainable Energy)
- Monte Carlo Methods in Financial Engineering
- Performance and limitations of the Hilbert–Huang transformation (HHT) with an application to irregular water waves
- Forecasting wind with neural networks
- Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm