Environmental State Modeling for Constrained Energy Prediction
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Solution Overview
Problem
It is challenging to accurately predict the energy demands of devices operating in environments with specific operational constraints, such as an air conditioning system cooling a warehouse to a specific temperature, as existing methods fail to effectively map device settings to energy consumption.
Innovation Solution
A method and system that predict energy states of devices by identifying operational constraints and selecting device settings, using environmental state models to map constraints and settings to environmental states, and energy consumption models to predict energy states based on these environmental states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a device is operated at a higher power setting to meet operational constraints, then the operational constraint is satisfied, but energy consumption increases
Solution Approach 1:
The system changes operational parameters by predicting energy states under different device settings and selecting the setting that optimizes the balance between meeting operational constraints and minimizing energy consumption. The predictor adjusts device settings based on predicted energy states to achieve optimal operation.
2Productivity
If existing prediction methods are used to estimate energy demands, then prediction is provided, but accuracy is insufficient due to failure to map device settings to energy consumption
Solution Approach 1:
The system introduces an environmental state model as an intermediary that maps device settings to environmental states, and an energy consumption model that maps environmental states to energy consumption. This two-stage mapping improves prediction accuracy by breaking down the complex relationship into manageable components.
Data Source
AI summary
Aspects of the subject technology relate to systems, methods, and computer-readable media for predicting energy states of devices operating in an environment. An operational constraint and a device setting for a device operating in an environment can be identified. An environmental state of the environment can be predicted based on the device operating at the device setting and under the operational constraint through application of an environmental state model that maps varying operational constraints and varying device settings to varying environmental states in the environment. An energy state for operating the device in the environment at the device setting and under the operational constraint can be predicted based on the predicted environmental state through application of an energy consumption model that maps the varying environmental states to varying energy states.