2. Power Modelling: You will now be looking at the appliances and other factors that affect the power usage in "your" house. Record the type, power rating and usage of devices to work towards matching the Power Usage data from Investigation $1 $ - Prompts: Give an inventory of appliances and modelled factors. How have you determined a rating and usage for each? What assumptions have you made? What impact might solar energy have on the model? - File format: colon separated, multipliers are comma separated (internally): - Residents: $::\mathrm{e} \mathrm{g}$. - TV:60:1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 3. Power Simulation: Create a street or suburb of houses/residences, implemented as objects in your program - based on the Power Modelling in Investigation 2. Imagine taking the view of the electricity provider and how they can service the needs of the 1 area. Your simulation should have the flexibility to be able to read in (or build) a range of scenarios. - Prompts: How does varying the proportion of the different types of houses affect the load over time? What are the base and peak loads? How does solar energy impact this? What impact might feeding solar energy back into the grid have? Can you include some "seasonal" factors or weightings? - Data: We will share house model files (format above) to give variation to your simulation. You can also create your own (documented). CS.VS,927