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About the Average Daily Profile Report


The Average Daily Profile report shows you the average pattern of a data value over a specified time period. This report is useful when you are negotiating energy contracts. By understanding energy demand patterns, you have the information necessary to negotiate an energy contract tailored to the unique needs of the business. shortBrandName gives you the ability to define parameters such as time periods, measurement units, and facilities. Using these parameters, you can identify unfavorable peaks and patterns, adjust behavior, and create an effective energy procurement strategy. Having this information allows you to reduce consumption volatility and to make the energy load more attractive for energy providers - reducing energy purchasing costs.

The Average Profile Report gives you the ability to aggregate and disaggregate points. When viewing an aggregated point, you will be able change the graphical display between a single aggregated curve and multiple disaggregated curves. When in a disaggregated state, the total or aggregated curve will remain in the view along with all the disaggregated points below it.

The following graphic is an example of a disaggregated Average Profile Report:

Figure 4-3 Average Profile Report Example.

This example shows the average 24-hour period for the data points for a week. The average 24-hour period is the mean weekday curve for the week. On the calendar, Saturdays and Sundays are excluded from the report totals. The highest curve on the graph is the aggregate and the underlying curves are the disaggregated record for each point.

Creating an Average Daily Profile Report

Create an Average Daily Profile Report by performing the following tasks

Start the average daily profile report

  1. Launch shortBrandName from your browser using the following URL: http://hostname/eas
    where hostname is the name or IP address of the Web Supervisor.
  2. Enter appropriate login information to gain access to the home page.
  3. From the home page, open Average Daily Profile by clicking on the Average Daily Profile link.
  4. Click on New. You may need to enter security information for the Java Plug-in.

Select the Data Points to Chart

  1. Expand the tree to find the site and data point you wish to chart. Right click on the desired data point and select Add to Report.
    The data point displays in the Selection window.

    Note: If you select a site or a meter, all applicable data points within that object will be added to the Selection window.

  2. Repeat adding data points or copying and pasting data points until you have all of the points in the report that you want to chart.

Set Report Parameters

  1. In the Profile frame, set the drop-down box for Rollup Interval. Your choices are 15, 30, and 60 minute blocks of time.
    The interval defines a block of time within which the data samples will be reported. Depending on the type of data, the data samples are handled differently. For demand data, the highest value sample, or peak, collected within the interval will be used. For consumption data, all the samples within the interval will be added together. For all other data types, the data samples are averaged together.

    Note: If you are viewing this report for only a single day, the actual calculated values as described above will be reported and charted. When reporting on a range of days, the calculated values are averaged together for each time interval and charted as the average for the period of the report.

  2. In the Period frame, select the time period for the data and which days of the week to exclude from the report (if any).
    • Last Week is a variable. It will always be the preceding week (Sunday through Saturday) of the date the report is viewed.
    • For a constant date of a particular week, select Date Range. On the day, month, and year, use the arrow keys to set the range for the start and To (end) dates.
  3. If you want to plot a baseline, click the Show Details button and complete the baseline parameters, as described in "Baseline", below.
  4. In the Normalization frame, set your desired parameters. If you want to normalize for Floor area, weather, or production, see "Types of Normalization" for details about normalization.
  5. Click on Run Report.
    Your report should be similar to that in Figure 4-4.
Figure 4-4 Sample Average Daily Profile Report.

Aggregate and Disaggregate

Baseline

Baseline Period is the set of data values, within the trended log, by which all the rest of the data is compared. This allows you to compare a data value against itself at another period of time (i.e., Main kWh for last week vs. Main kWh for the same week in the previous year). You can select a predefined start date from the Period list (Custom Period, Same Start Date, 1 Week Prior, 1 Month Prior, or 1 Year Prior) then select how many days worth of original data are in the baseline period. The software takes that defined number of days and repeats the baseline period for the entire charted time.

Setting the Baseline Parameters.

The following procedure describes how to set the baseline parameters for reports that allow detailed baseline parameters.

  1. Once you have selected points to be charted, along with a date range, click Show Details to define the baseline parameters.
  2. From the data point list, select the point that you wish to use as a baseline.
  3. Define the baseline period by selecting a common period from the Period list or by manually defining the baseline period.
  4. Select a color for the baseline trend from the Baseline Color list and choose a Display option to complete the Baseline Period setup:

  1. Click Run Report to create the report.

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