Power prediction method and apparatus, and device
AssigneeHuawei Technologies Co., Ltd.
InventorsShuqian Wang, Feng Chai, Weixiang Jiang
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Abstract
A power prediction method includes obtaining evaluation metrics of models in a model pool, where the evaluation metrics are used to indicate precision of the models; selecting, based on the evaluation metrics, a first model for a power prediction on a first electrical unit; and presenting a result of the power prediction of the first electrical unit using the first model.
Claims20
A method comprising:
- obtaining evaluation metrics of models in a model pool, wherein the evaluation metrics indicate precisions of the models, wherein the evaluation metrics are based on an interval error value used during a power prediction, and wherein the interval error value is based on a summation of deviation values between a predicted power value of the models and an actual power value of the models in a plurality of statistical periods in a electricity price time interval;
- selecting, from the model pool and based on the evaluation metrics, a first model for a power prediction of an electrical unit in a data center;
- performing the power prediction using the first model to obtain a result;
- presenting the result of the power prediction;
- determining a charge/discharge policy based on the power prediction and based on electricity prices of a mains power, wherein the charge/discharge policy charges an energy storage system from the mains power when the electricity prices are relatively low and discharges from the energy storage system to the electrical unit when the electricity prices are relatively high;
- and
- implementing the charge/discharge policy.
A device comprising:
- a memory configured to store instructions;
- and
- one or more processors configured to execute the instructions to:
- obtain evaluation metrics of models in a model pool, wherein the evaluation metrics indicate precisions of the models, wherein the evaluation metrics are based on an interval error value used during a power prediction, and wherein the interval error value is based on a summation of deviation values between a predicted power value of the models and an actual power value of the models in a plurality of statistical periods in a electricity price time interval;
- select, from the model pool and based on the evaluation metrics, a first model for a power prediction of an electrical unit in a data center;
- perform the power prediction using the first model to obtain a result;
- present the result of the power prediction;
- and
- determine a charge/discharge policy based on the power prediction and based on electricity prices of a mains power, wherein the charge/discharge policy charges an energy storage system from the mains power when the electricity prices are relatively low and discharges from the energy storage system to the electrical unit when the electricity prices are relatively high.
A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores instructions, and wherein the instructions when executed by a processor of a device, cause the device to:
- obtain evaluation metrics of models in a model pool, wherein the evaluation metrics indicate precisions of the models, wherein the evaluation metrics are based on an interval error value used during a power prediction, and wherein the interval error value is based on a summation of deviation values between a predicted power value of the models and an actual power value of the models in a plurality of statistical periods in a electricity price time interval;
- select, from the model pool and based on the evaluation metrics, a first model for a power prediction of an electrical unit in a data center;
- perform the power prediction using the first model to obtain a result;
- present the result of the power prediction;
- and
- determine a charge/discharge policy based on the power prediction and based on electricity prices of a mains power, wherein the charge/discharge policy charges an energy storage system from the mains power when the electricity prices are relatively low and discharges from the energy storage system to the electrical unit when the electricity prices are relatively high.
Dependencies are inferred from the claim text.