Appliance Utilization Start Interval Prediction Device
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Solution Overview
Problem
Conventional techniques for predicting the utilization start interval of electrical appliances struggle to balance power saving effects and user load, often resulting in a trade-off between reducing power consumption and minimizing user inconvenience, as they either extend prediction intervals for accuracy or shorten them for efficiency, leading to increased user load or decreased power saving.
Innovation Solution
A utilization start interval prediction device that uses historical data to determine a prediction interval by evaluating schemes based on appliance usage patterns, including periodicity and relationships between appliances, to optimize power supply timing and reduce waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the prediction interval is extended to improve prediction accuracy, then the user load decreases, but the power saving effect deteriorates
Solution Approach 1:
The system segments the prediction approach by offering two distinct prediction schemes: a first scheme using periodicity properties and a second scheme using inter-appliance temporal relationships. This segmentation allows the system to select the most appropriate scheme for each appliance type, optimizing both prediction accuracy and power saving effects without compromising user convenience
Solution Approach 2:
The system dynamically selects between different prediction schemes based on evaluation of historical data characteristics. The determination unit evaluates which scheme is more suitable for each appliance and adjusts the prediction approach accordingly, enabling adaptive optimization of the trade-off between prediction accuracy and power saving
2Measurement precision
If the prediction interval is extended to improve prediction accuracy, then the user load decreases, but the user convenience deteriorates
Solution Approach 1:
By segmenting the prediction into two distinct schemes with different characteristics, the system can match the appropriate scheme to each appliance's usage pattern, improving prediction accuracy without unnecessarily extending the prediction interval and thus maintaining user convenience
Solution Approach 2:
The system changes the prediction parameters by selecting different schemes based on appliance characteristics. The first scheme uses periodicity parameters while the second uses inter-appliance temporal relationship parameters, allowing optimization of prediction accuracy for each case without uniformly extending intervals
3Loss of energy
If the prediction interval is shortened to improve power saving effect, then the power saving increases, but the prediction accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts the prediction interval length based on the selected scheme and appliance characteristics. Rather than using a fixed short interval, the system adapts the interval length to achieve both power saving and adequate prediction accuracy for each specific case
4Loss of energy
If the prediction interval is shortened to improve power saving effect, then the power saving increases, but the user convenience deteriorates
Solution Approach 1:
The system changes prediction parameters adaptively based on appliance usage patterns. By evaluating historical data and selecting the appropriate scheme, the system optimizes the prediction interval to balance power saving with user convenience, avoiding both excessively long and unnecessarily short intervals
Data Source
AI summary
A prediction device for predicting a prediction interval being a time interval predicted with a high possibility of appliance utilization starts includes: an evaluation unit calculating, using utilization interval history data, an evaluation value for determining a prediction scheme for each appliance; a determination unit, based on the evaluation value at least for each appliance, determining at least one of a first and a second prediction scheme as the scheme of the prediction interval for the appliance, the first prediction scheme using a property that the appliance is utilized in a predetermined cycle, and the second prediction scheme using a property that the utilization of a second appliance being the appliance is started in a period from a start or an end of utilization of a first appliance being another appliance to a passage of a predetermined time; a prediction unit predicting a prediction interval according to the determined scheme.