Christopher Jung
Aerospace Engineering · with Schindler · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 20 citations into it; #4,181 of 6,421 by trust here, #5,612 by citations
- Environmental Engineering — 19 citations into it; #3,361 of 5,479 by trust here, #4,694 by citations
Whom Christopher Jung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Christopher Jung overall
Papers from Christopher Jung's perspective
Ordered by how strongly the researchers Christopher Jung trusts endorse each paper. Same corpus, a different order for every researcher.
- On the distributional parameters used in assessment of the suitability of wind speed probability density functions
- Wind energy analysis based on maximum entropy principle (MEP)-type distribution function
- Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function
- Estimating wind speed distribution
- A review on the young history of the wind power short-term prediction
- Least Squares Support Vector Machine Classifiers
- Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting
- Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine (Expert systems with applications)
- On comparing three artificial neural networks for wind speed forecasting
- Using support vector machines for time series prediction
Their papers
- Wind speed distribution selection – A review of recent development and progress (2019) — 155 citations
- Global comparison of the goodness-of-fit of wind speed distributions (2017) — 121 citations