Generation of simulated wind data using an intelligent algorithm

Engineering

• Energy Storage 100%
• Moving Average 50%
• Probability Density Function 50%
• Renewable Energy Resource 50%
• Measured Data 50%
• Storage Requirement 50%
• Wind Power 50%
• Artificial Neural Network Model 50%

Keyphrases

• Energy Storage 25%
• Probability Density Function 25%
• Renewable Resources 25%
• General Trends 25%
• Markov Model 25%
• High Reliability 25%
• Grid-based 25%
• Energy Use 25%
• Learning Methodology 25%
• Numerical Weather Prediction 25%
• Wind Energy 25%
• Artificial Neural Network Model 25%
• Autoregressive Integrated Moving Average (ARIMA) 25%
• Wind Profile 25%
• Markov Approach 25%

Mathematics

• Statistical Prediction 100%