Projects

Perform data analysis and modeling to determine the “best” energy profile and to predict the energy profile in the future

• Utilize Entropy Weight Method (EWM) to assess the energy profile and determine the best energy profile

• Apply two Time Series Forecasting Analysis (TSFA) methods to predict the energy profile

  • Gray Model: GM (1,1)
  • Back Propagation Neural Network with 10 hidden layers

Transform the compact goals to the optimization targets

• Adopt Multivariate Linear Regression to solve the optimization problem

Conduct a large number of experiments to explore the relationship between the time of opening the red envelope and the amount of received money

Make two modeling assumptions

• The interval time v.s. The amount of money ⇒ No relationship

• The opening order v.s. The amount of money

  • Each order: The distribution of the amount of money satisfy skew distribution
  • Each order: The conditional distribution of the amount of money satisfy uniform distribution