Home Automation Energy Data Feedback for Power Procurement
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Solution Overview
Problem
Conventional home automation and energy procurement systems lack sufficient data for entities to make informed decisions, leading to inefficient electricity usage and procurement strategies.
Innovation Solution
A system that receives data from home automation devices, applies forecast development rules to analyze energy usage patterns, and communicates procurement recommendations to retail electricity providers to optimize electricity procurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional home automation devices are used, then basic monitoring and control functions are provided, but limited feedback is offered to users and service providers
Solution Approach 1:
The patent implements a feedback mechanism where home automation devices transmit usage data to a service provider system, which then provides actionable insights and recommendations back to users. This resolves the contradiction by enabling comprehensive feedback without requiring complex changes to individual devices, instead using a centralized analysis system.
Solution Approach 2:
The service provider system acts as an intermediary between home automation devices and users. It collects data from devices, analyzes usage patterns, and delivers processed information to users, thereby enhancing feedback capability without increasing device complexity directly.
2Productivity
If entities make electrical procurement decisions with limited data, then procurement decisions can be made, but efficiency is reduced
Solution Approach 1:
The system performs preliminary analysis of energy usage data before procurement decisions are made. By pre-processing and analyzing usage patterns, the system prepares actionable insights in advance, enabling more efficient procurement decisions with better information quality.
Solution Approach 2:
The system provides feedback loops where procurement outcomes and usage patterns are continuously analyzed, enabling entities to make increasingly efficient procurement decisions over time based on accumulated data and insights.
3Adaptability or versatility
If home automation devices operate independently, then device autonomy is maintained, but interaction with service providers is limited
Solution Approach 1:
The service provider system is designed to work with multiple types of home automation devices through standardized interfaces. This enables enhanced interaction capability without requiring each device to be complex, as the centralized system handles the integration logic.
Data Source
AI summary
An interface receives procurement data, the procurement data comprising data received from a home automation device. A processor applies forecast development rules to the procurement data. The processor determines an electricity procurement recommendation, the electricity procurement recommendation based on the analyzed energy usage data and the forecast development rules. Upon a determination of the electricity procurement recommendation, the interface communicates the electricity procurement recommendation to a retail electricity provider.


