Demand Charge and Forecasts
Updated 2019-07-29
1 Executive Summary
This package creates diverse plots per day, weekday, month and year for peak demand power consumption of several meters to support a project, demand_acep, which was developed to make raw data of electricity consumption of 4 meters in Poker Flat Research Range (PRFR) ready to use for the further analyses. These plots lead to benefit-cost analyses and cost saving plots based on electricity rate structure from GVEA in Alaska.
Poker Flat Research Range (PFRR) is located about 40 miles North of Fairbanks, AK and serves as a sounding rocket launch facility and for other geophysical research activities. PFRR is operated by the University of Alaska Fairbanks (UAF) under contract with NASA.
Service Type | Customer Charge [$/month] | Utility Charge [$/kWh] | Fuel & Purchased Power Charge [$/kWh] | Demand Charge [$/kW] |
---|---|---|---|---|
Residential | 17.5 | 0.11631 | 0.09207 | 0.00 |
GS-1 | 20.0 | 0.11528 | 0.09207 | 0.00 |
GS-2(S) | 30.0 | 0.06256 | 0.09207 | 14.29 |
GS-2(P) | 30.0 | 0.06256 | 0.09207 | 14.29 |
GS-3 | 295.0 | 0.02940 | 0.09207 | 22.86 |
In addition, this package forecasts peak power demand using ARIMA on a daily and monthly basis. Correlation and a simple regression are also included.
To use ths package, follow the steps:
- Install
devtools
install.packages("devtools")
- Load the package
library(devtools)
- Install this package
demand
install_github("reconjohn/demand")
- Load the package
library(demand)
Now you are all set!
1.1 Brief description of demand charge using R package, demand
Using R package demand
, peak demand, correlation, forecast, and demand charge were plotted. Refer to the followings for more details about demonstration of code from demand
package and its results.
View the project here.
To the extent possible under law, Yohan Min has waived all copyright and related or neighboring rights to “R package demand”. This work is published from the United States.