Prepaid Utility Meter Alert Threshold Adjustment
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Solution Overview
Problem
Users of prepaid utility meters face challenges in managing their accounts, particularly when anticipating utility consumption and avoiding service disruptions, especially during periods of absence or unexpected changes in usage patterns.
Innovation Solution
A method and system that predicts remaining utility usage and adjusts the alert threshold for prepaid utility meter accounts, incorporating factors like weather forecasts, user calendars, and historical usage patterns to send timely alerts and prevent service disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually monitor and manage prepaid utility accounts, then users can control their utility consumption, but users may experience service disruptions during periods of absence or unexpected usage changes
Solution Approach 1:
The system enables self-service by automatically monitoring utility consumption, predicting remaining usage, and sending alerts without requiring user intervention. The prepaid meter system autonomously tracks consumption patterns, calculates remaining utility based on historical data and weather forecasts, and notifies users when replenishment is needed, eliminating the need for manual account management while maintaining service continuity.
Solution Approach 2:
The system implements feedback by continuously monitoring utility consumption and providing real-time information to users through alerts. The system measures actual usage, compares it against predicted remaining utility, and sends notifications when the account approaches depletion or when usage patterns indicate potential service disruption risks, enabling users to take corrective action before service is interrupted.
2Reliability
If the alert threshold is set too low, then users can avoid service disruptions, but users may receive unnecessary alerts during periods of absence
Solution Approach 1:
The system dynamically adjusts the alert threshold based on predicted remaining utility calculations that incorporate historical consumption patterns, weather forecasts, and current usage rates. Rather than using a fixed threshold, the system adapts the alert trigger point to reflect anticipated consumption changes, ensuring alerts are sent at appropriate times while avoiding false notifications during periods of expected low usage such as vacations or extreme weather events.
Solution Approach 2:
The system performs preliminary analysis by forecasting future utility consumption based on historical data and weather predictions before sending alerts. By calculating predicted remaining utility in advance and comparing it against the dynamic threshold, the system proactively identifies when replenishment should occur, sending alerts before service disruption risks arise while filtering out situations where alerts would be unnecessary.
3Productivity
If the system sends frequent alerts, then users can replenish accounts timely, but users may experience alert fatigue and ignore notifications
Solution Approach 1:
The system applies partial action by sending alerts selectively rather than continuously. It calculates predicted remaining utility and compares against the dynamic threshold, sending alerts only when the predicted depletion timing indicates genuine replenishment needs. This avoids excessive alerting during periods of low consumption or when users are absent, maintaining user engagement while ensuring timely replenishment notifications are delivered when necessary.
Data Source
AI summary
A method and system for predicting an estimated remaining utility usage and adjusting an alert threshold for a prepaid utility meter account includes receiving an indication of a time period of inaccessibility to replenish a prepaid utility meter account, predicting an alert trigger time when an estimated remaining utility usage for the prepaid utility meter account falls below an alert threshold, and determining that the time period of inaccessibility overlaps the predicted alert trigger time, and responsively adjusting the alert threshold such that the predicted alert trigger time occurs before the time period of inaccessibility. The method also includes receiving an indication of a business objective for a utility company and automatically adjusting the alert threshold associated with the prepaid utility meter account based on the business objective.