Power Management and Optimization for a Residential Smart Microgrid Using Stochastic Methods

Keyphrases

• Forecasting Techniques 100%
• Power Management 100%
• Power Optimization 100%
• Autoregressive Integrated Moving Average (ARIMA) 100%
• Stochastic Methods 100%
• Smart Microgrid 100%
• Least Squares Support Vector Regression (LSSVR) 50%
• Numerical Results 50%
• Electric 50%
• Optimization Methods 50%
• Energy Demand 50%
• Result-oriented 50%
• Model Validation 50%
• San Diego 50%
• Energy Usage 50%
• Demand Response 50%
• Energy Prices 50%
• Polynomial Regression 50%
• Mean Absolute Percentage Error 50%
• Moving Average Method 50%
• Mean Square Error Criterion 50%
• Forecast Value 50%

Engineering

• Moving Average 100%
• Power Management 100%
• Mean-Squared-Error 50%
• Microgrid 50%
• Acquired Data 50%
• San Diego 50%
• Energy Usage 50%
• Support Vector Machine 50%