Overview: Analyses

Analyses are important tools for recognizing meaningful trends in the large amounts of raw data gathered for a meter. This information can point out changes that can be made in production loads and scheduling, assist in negotiations with energy providers for more competitive rates and services, or other actions beneficial to your company in terms of its commodity usage.

Analyses are performed only on interval data. Billing data is necessary only for establishing time of use periods used in the analysis scripts.

The data used for analyses is stored in your dataset. It consists of meter, counter, weather time-stamped interval data, channel data, and time of use period information such as that used in the bill summary analysis. Meter, counter, and weather data is imported electronically into the system; virtual data channels are created using EnergyCAP Enterprise; billing data is entered either manually, or imported from a flat file or more structured and/or automated formats such as Electronic Data Interchange (EDI).

EnergyCAP Enterprise allows you to perform a variety of analyses (selectable from the Analysis menu option) based on user-configured analysis scripts:

• Profile: A statistical load shape based on the available data and a selected time frame. This provides a quick view of data values over time against which the historical data can be compared. The load shape, once generated for the specified time period, is displayed as maximum, average, and minimum values for the time period selected.

• General Summary: A useful analysis for getting a broad overview of the data values reported by the selected data points at your site. It displays (where applicable) maximums, minimums, averages, load factor, and consumption information pertaining to the selected data.

• Peak Search: An analysis that finds the highest peaks of data for the selected time period. You can specify the number of peaks to discover. This can help you determine if a particular hour, day, week, or month presents an opportunity to shift your consumption load by changing a production schedule or building activity.

• Bill Summary: An analysis that rolls up the raw energy data into time of use periods so that you can then compare the data against actual bills.

• Rate Calculation: An analysis that is used to generate the tariff or rate schedule charges that should be levied against the selected meter data values during the selected time period. The results can be compared against the actual bill in order to verify it, or to project future/alternative bill charges.

• Comparison: An analysis that is useful to compare two streams of data over a common period of time. It identifies the minimum and maximum differences between the two data points and the respective time stamps when these conditions occur.

• Regression: An analysis that is useful in determining the impact external and internal influences have on your site’s energy patterns. These external and internal influences include facility activities, internal processes, and weather conditions, and are referred to as predictor sources. The energy data being influenced is referred to as the response source.