Business Operating Hours Classification via Resource Consumption Analysis
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Solution Overview
Problem
Existing methods fail to accurately determine operating hours for businesses, leading to unreliable or nonexistent information, which hinders utility providers' ability to offer targeted eco-conscious conservation programs.
Innovation Solution
A computer-implemented method and system that classify businesses based on resource usage data, generating operating hours categories and associating them with usage profiles to determine accurate operating hours by analyzing power consumption patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to determine operating hours, then the process is simple, but the accuracy and reliability of operating hours information is poor
Solution Approach 1:
The patent segments the determination of operating hours into multiple components: receiving operating hours categories, associating usage profiles with categories, receiving business information, and comparing resource consumption data against usage profiles. This segmentation allows each component to be optimized independently while maintaining overall system accuracy.
Solution Approach 2:
The patent introduces usage profiles as intermediary elements that mediate between operating hours categories and business information. These usage profiles serve as reference patterns that enable accurate classification by comparing resource consumption data against established profiles, thereby improving measurement precision without requiring direct complex analysis of raw business data.
2Reliability
If resource usage data analysis is implemented, then operating hours information becomes accurate, but data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-establishing operating hours categories and associating usage profiles with these categories before actual business data analysis. This preprocessing creates a ready-to-use framework that reduces the computational burden during the actual classification process, as the system only needs to compare business resource consumption data against pre-defined profiles rather than analyzing data from scratch.
Solution Approach 2:
The patent transforms raw resource consumption data into classified operating hours information by changing the parameter representation. Instead of processing raw numerical data continuously, the system converts data into discrete categories based on usage profiles, thereby reducing computational complexity while maintaining reliability of the results.
3Adaptability or versatility
If classification categories are created for different business types, then targeted conservation programs become possible, but system complexity increases
Solution Approach 1:
The patent creates a universal classification framework that can accommodate multiple business types and conservation program types through a single system architecture. The usage profiles and operating hours categories are designed to be multi-functional, serving different business classifications without requiring separate systems for each business type, thereby achieving adaptability while controlling overall system complexity.
Data Source
AI summary
Aspects of the subject technology relate to methods and systems for classifying businesses according to an open-hours classification category, for example, based on resource consumption data. In some implementations, methods of the subject technology include steps for receiving a plurality of operating hours categories, wherein each of the operating hours categories is associated with at least one usage profile, and receiving business information for an unclassified business, wherein the business information comprises resource consumption data for the unclassified business. In some aspects, methods of the subject technology can further include steps for determining if the unclassified business should be associated with one of the operating hours categories based on the resource consumption data for the unclassified business. Systems and machine-readable media are also provided.