Highest Energy Use Days
The Highest Energy Use Days calendar highlights the top five days of the month in which a customer used the most energy, helping them identify patterns in their energy use. If a given weekday has five percent or more energy use than all other days of the week, it is highlighted as the day with the most energy use. For example, Saturday can be highlighted for a customer who uses considerably more energy on Saturday than any other day of the week. A link to the Data Browser sends customers to a tool for additional energy use analysis.
On this page:
Requirements
- AMI Data: The Digital Self Service Energy Management AMI cloud service is required for this feature. See Getting Started for details. Customers must have daily, hourly, or sub-hourly AMI reads from one or more service points.
- Data History: A total of 14 days or more of data for a month is required to highlight the top five energy use days. Customers with less data see a single day highlighted as the highest energy use day, or a message that there is not enough data to provide an insight.
User Experience
Customers with AMI data can view the highest usage days of the month, revealing patterns around the days of the week in which they used the most energy.
Available Data: The widget is designed to present a complete picture of the month's highest usage days. The last month is shown so long as it has a full month's worth of data. In general, the previous month is shown if it has more data than the current month, but the widget shows whichever month has more data: current month versus previous month. If the previous month has less data than the current month, the widget shows the current month. Specific cases are shown below.
|
Condition |
Behavior |
|---|---|
|
The previous month has 0-6 days of data, and the current months has 15+ days of data. |
Show the current month. |
|
The previous month has 7- 14 days of data, and the current months has 15+ days of data. |
Show the current month. |
|
The previous month has 15+ days of data, and the current month has 7- 14 days of data. |
Show the previous month. |
|
The previous month has 7- 14 days of data, and the current month has 7- 14 days of data. |
Show the current month. |
|
The previous month has 15+ (but less than 30) days of data, and the current month has 15+ days of data. |
Show the current month. |
|
The previous month has 30 days of data, and the current month has 15+ days of data. |
Show the previous month. |
New Customers: New customers who do not yet have a full month's of data will see the following:
- More than 14 days of data: The top five energy use days of the month are highlighted, and an insight indicates on which day of the week most of the energy use happened.
- 7 to 14 days of data: The top energy use day of the month is highlighted.
- Less than 7 days of data: A message is displayed indicating that there is not enough data to provide an energy insight.
Highest Energy Use Day of the Week Insight: An insight message is displayed highlighting high energy use for a particular day of the week if a given day of the week has 5% more energy use than any other day of the week. For example, Saturday can be highlighted for a customer who uses considerably more energy on Saturday than any other day of the week.
Top Energy Use Days Bubbles: Customers who click on one of the Top 5 energy use days bubbles are redirected to the Data Browser. Utilities can define which graph and view is displayed when customers are redirected to the Data Browser in this fashion. Refer to the Configuration Options listed below for information on configuring the Data Browser redirect location.
User Experience Variations
Multiple Accounts and Service Points
The widget includes all applicable service points for a given customer. There is no multi-account selector. If there are two electric AMI service points, then AMI data from those two service points is added and shown in the widget. Reads from multiple service points are merged before processing regardless of fuel type (for example, electricity and gas are aggregated).