Gain a deeper understanding of every kWh of your energy consumption

Other Analysis

This article is the third in the "IAMMETER Energy Consumption Report" series (for the first article, please see 13.1 Bill Reports,for the second article, please refer to 13.2 Energy Consumption Analysis ).

This includes the following report content:

• Abnormal Data Analysis
• Demand Charges Analysis
• Offline Analysis

Abnormal Data Analysis

This report helps customers analyze the quantity and proportion of abnormal data.

As shown below, the voltage range of 210V-230V is set as the normal range (for demonstration purposes only). The analysis covers all power readings from December 10 to December 11, 2024.

After the report analysis, it was found that 431 voltage readings exceeded the specified range, accounting for 33.91% of the total readings.

Demand Charges Analysis

"A demand charge is applied to end users who have the largest energy demands (e.g., large multifamily and apartment buildings; commercial, industrial, educational, and healthcare facilities; etc.). For many commercial customers, the demand charge can account for 30% to 70% of a monthly electricity bill."

Analyze your Demand Charge in IAMMETER

• You can select 15 minutes, 30 minutes, or 1 hour as the demand charge interval.
• It displays the maximum power for each time interval within a month.
• You can filter the maximum power for each time interval based on days of the week (Monday to Sunday).
• It provides grouped analysis of the average maximum power during intervals for each day of the week.

Analyze the maximum power within 15-minute intervals

Filter by day of the week to analyze the maximum power

Group by day of the week to analyze the average maximum power for each interval

The seven curves in the chart below represent Monday to Sunday. The curve values indicate the maximum power for every 15 minutes over 24 hours in a day.

Please note that each curve is an aggregated result. For example, if there are five Mondays in December, the values of the Monday curve are the averages of the five corresponding data points.

Offline Analysis

This report analyzes the number and proportion of data upload interruptions.

Due to network issues or other factors, data uploads may be interrupted (the meter will automatically resume uploads as soon as the network is restored).

This report is designed to analyze the offline duration.

As shown below, with 5 minutes set as the standard for determining interruptions (an upload interval exceeding 5 minutes is considered an interruption), you can select a time range, and the report will count the number of interruptions and the duration during that period.

Reference

13.1 Bill Reports

13.2 Energy Consumption Analysis

13.3 Other Analysis

13.4 load Analysis