Electronic Power Mode Scheduling for Energy Budget Control
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Solution Overview
Problem
Users face challenges in determining when to switch to a power-saving mode to avoid exceeding target electrical energy, which can lead to inconvenient real-time adjustments and potential performance degradation of electronic apparatuses.
Innovation Solution
An electronic apparatus that generates schedule information for performing a power-saving mode based on predicted electrical energy exceeding target electrical energy, allowing it to operate accordingly and maintain performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the user directly determines the measured electrical energy in real time and performs power-saving mode, then electrical energy consumption is reduced, but user convenience deteriorates and apparatus performance decreases
Solution Approach 1:
The system performs preliminary actions by predicting future electrical energy consumption based on historical data and usage patterns before the user needs to make decisions. This allows the system to proactively determine optimal power-saving schedules without requiring real-time user intervention, thereby reducing energy consumption while maintaining user convenience.
Solution Approach 2:
The electronic apparatus automatically manages its own power consumption by generating and executing power-saving schedules based on predicted energy usage. The system serves itself by making autonomous decisions about when to enter power-saving mode, eliminating the need for continuous user monitoring and manual control adjustments.
2Loss of energy
If the user directly determines the measured electrical energy in real time and performs power-saving mode, then electrical energy consumption is reduced, but apparatus performance deteriorates
Solution Approach 1:
The system predicts future energy consumption patterns and generates power-saving schedules in advance, allowing it to plan performance adjustments that minimize impact on apparatus functionality. By acting beforehand rather than reactively, the system can maintain performance during critical periods while achieving energy savings during less critical periods.
Solution Approach 2:
The power-saving schedule is dynamically adjusted based on predicted energy consumption and actual usage patterns. The system can flexibly modify the schedule to balance energy savings with performance requirements, ensuring that apparatus performance is maintained when needed while achieving energy reduction goals overall.
3Loss of energy
If power-saving mode is used for a long time to reduce electrical energy, then electrical energy consumption is reduced, but user satisfaction deteriorates
Solution Approach 1:
The system proactively generates power-saving schedules based on predicted energy consumption before users experience any performance degradation. This preliminary planning allows the system to achieve energy savings while anticipating and preventing user dissatisfaction by maintaining performance during important usage periods.
Solution Approach 2:
The system continuously monitors actual energy consumption and usage patterns, using this feedback to refine future power-saving schedules. By learning from actual user behavior and energy usage, the system adapts its schedules to better balance energy savings with user satisfaction, ensuring that power-saving measures do not negatively impact user experience.
Data Source
AI summary
An electronic apparatus is provided. The electronic apparatus includes memory including one or more storage media storing instructions and a preset period for measuring electrical energy, and one or more processors communicatively coupled to the memory, wherein the instructions, when executed by the one or more processors individually or collectively, cause the electronic apparatus to, based on an electrical energy prediction command being received, acquire collected electrical energy from a start time of a preset period to a time when the electrical energy command is received, acquire predicted electrical energy corresponding to the preset period based on the collected electrical energy, based on the predicted electrical energy exceeding target electrical energy, acquire a number of remaining days from a time when the electrical energy prediction command is received to a time when the preset period ends, acquire a first number of operating days for which the electronic apparatus operates in a normal mode and a second number of operating days for which the electronic apparatus operates in a power-saving mode based on the collected electrical energy, the target electrical energy and the number of remaining days, generate schedule information such that the electronic apparatus operates in a power-saving mode for the second operating days during the remaining period, and determine an operation mode of the electronic apparatus based on the schedule information.


