Load Forecast

31 outubro 2022, 10:30 • Hugo Gabriel Valente Morais

• Forecasting methods
• Patterns that describe a tlme series: trends,cycles, seasonal variations, irregular fluctuations.
• Measuring forecast errors
• Multiple Linear Regresssion

• Multiple Linear Regression.
• Statistics of beta coefficients.
• Estimation of errors variance: Sum of square of the errors and number of degrees of freedom.
• Sum of squares of regression
• Sum of squares of dependent variable.
• The coefficient of determination, R 2

• The Fisher distribution test and the Stuent t distribution test
• Interval of confidence for beta coefficients and dependent variable forecast.
• Models for long term energy forecast and short term load forecast
• Building a causal time series for forecasting the consumption of electric energy