Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Link opens in a new tab
Search content at Aston Research Explorer
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Short-term wind power forecasting using Gaussian processes
Niya Chen
, Zheng Qian
, Xiaofeng Meng
, Ian T. Nabney
Computer Science Research Group
Beihang University
Research output
:
Chapter in Book/Published conference output
›
Conference publication
36
Link opens in a new tab
Citations (SciVal)
Overview
Fingerprint
Research Outputs
(1)
Fingerprint
Dive into the research topics of 'Short-term wind power forecasting using Gaussian processes'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Gaussian Process
100%
Short-term Wind Power Forecasting
100%
Wind Power Forecast
50%
Wind Speed
25%
Power Output
25%
Artificial Neural Network
25%
Control Strategy
25%
Stochastic Nature
25%
Probabilistic Model
25%
Numerical Weather Prediction Model
25%
Numerical Weather Prediction
25%
Prediction Accuracy
25%
Generated Power
25%
Model Building
25%
Wind Speed Data
25%
Numeric Modeling
25%
Artificial Neural Network Model
25%
Mean Absolute Error
25%
Wind Turbine
25%
Wind Power
25%
Model-based Testing
25%
Persistence Method
25%
Wind Energy Economics
25%
Wind Power Utilization
25%
Engineering
Gaussians
100%
Wind Power
100%
Artificial Neural Network
25%
Simulation Result
25%
Power Output
25%
Compressed Air Motors
25%
Artificial Neural Network Model
25%
Numerical Weather Prediction Model
25%
Mean Absolute Error
25%
Speed Data
25%
Turbine
25%
Earth and Planetary Sciences
Wind Power Forecasting
100%
Wind Power
100%
Wind Velocity
50%
Artificial Neural Network
50%
Energy Utilization
25%
Compressed Air Motors
25%