Interactive Analytics Platform for Energy Billing Insights
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Solution Overview
Problem
Current energy consumption auditing engines provide disjointed energy data results, requiring users to manually formulate insights from utility bills, making it difficult to identify factors influencing billing amounts.
Innovation Solution
A computer-implemented method and system that processes and analyzes raw energy usage data using a distributed computing framework to generate utility billing insights, correlating energy consumption with weather patterns and user-specific characteristics, providing interactive interfaces for users to understand billing factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If common energy usage analysis tools provide table-based views of energy usage data, then users can access energy consumption information, but users must manually comb through the data requiring additional tools to extract insightful information
Solution Approach 1:
The patent segments the large table-based energy usage data into meaningful groups and categories. The system automatically divides the raw data into segments that correspond to different energy consumption patterns, time periods, and contributing factors, making it easier for users to understand without manually combing through all the data.
Solution Approach 2:
The patent introduces an intermediary processing layer between the raw energy data and the user. This intermediary system automatically analyzes the energy usage data, identifies patterns and trends, and presents processed insights to users. The intermediary translates complex raw data into understandable information without requiring users to manually analyze the data themselves.
2Loss of information
If common energy usage analysis tools display raw energy data, then users can see energy consumption numbers, but users require manual effort to correlate data to underlying trends such as weather changes
Solution Approach 1:
The patent performs preliminary actions by automatically correlating energy usage data with external factors such as weather patterns before presenting the information to users. The system pre-processes the data to identify and establish relationships between energy consumption and underlying trends like temperature changes, eliminating the need for users to manually perform this time-consuming analysis.
Solution Approach 2:
The patent introduces an intermediary system that automatically performs the correlation analysis between energy data and contextual information such as weather patterns. This intermediary layer handles the complex task of matching energy consumption patterns with external factors, saving users time and ensuring contextual information is properly integrated.
3Loss of information
If the system provides detailed energy consumption data for multiple users, then comprehensive analysis is possible, but user authentication and security management becomes more complex
Solution Approach 1:
The patent implements a universal authentication token system that serves multiple functions. The authentication tokens are designed to work across different users and access scenarios, providing a multi-functional security mechanism that handles user verification, authorization, and data access control in a unified manner, reducing overall system complexity despite serving multiple users.
Solution Approach 2:
The patent uses authentication security tokens that can be copied or replicated for different access sessions while maintaining security. The token system allows multiple instances of authenticated access without requiring complex individual authentication mechanisms for each session, simplifying the overall authentication management while preserving user-specific data integrity.
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for an interactive analytics platform responsive to data inquiries. These aspects include identifying a request for energy consumption data of an energy user from a user in a live interaction with the energy user. A utility bill as well as energy consumption data associated with the second user may be retrieved using an authentication of the second user. Energy consumption factors that influence a billing amount of the utility bill may be identified based on the energy consumption data. An interface with specific billing insights that correspond to the energy consumption factors is generated. The specific billing insights provide an explanation as to why the billing amount of the utility bill exceeded a cost expectation of the second user. The interface mapped with the utility bill may be provided for display.