Load forecasting for electrical equipment using machine learning
AssigneeHitachi Energy Switzerland AG
InventorLuiz CHEIM
Life of this patent
Estimating the term…
Abstract
Embodiments are disclosed for predicting, by a processor circuit, a load parameter value of an electrical equipment for a future time based on at least one machine learning model and multiple load parameter values including a set of predefined number of load parameter values extracted from a time series data stream of load parameter values obtained for the electrical equipment. Thereafter calculating, by the processor circuit, an overload capability for the future time based on the predicted load parameter value and changing, by the processor circuit, at least one parameter associated with the electrical equipment at the present time based on the calculated overload capability for the future time.
Claims20
A method comprising:
- predicting, by a processor circuit, a load parameter value of an electrical equipment for a future time based on at least one machine learning model and a plurality of load parameter values comprising a set of predefined number of load parameter values extracted from a time series data stream of load parameter values obtained for the electrical equipment;
- calculating, by the processor circuit, an overload capability for the future time based on the predicted load parameter value;
- and
- changing, by the processor circuit, at least one parameter associated with the electrical equipment at the present time based on the calculated overload capability for the future time.
A monitoring device comprising:
- a processor circuit;
- and
- a memory comprising machine readable instructions that, when executed by the processor circuit, cause the processor circuit to:
- predict a load parameter value of an electrical equipment for a future time based on at least one machine learning model and a plurality of load parameter values comprising a set of predefined number of load parameter values extracted from a time series data stream of load parameter values obtained for the electrical equipment;
- calculate an overload capability for the future time based on the predicted load parameter value;
- and
- change at least one parameter associated with the electrical equipment at the present time based on the calculated overload capability for the future time.
A non-transitory computer readable medium comprising instructions that, when executed by a processor circuit, cause the processor circuit to:
- predict a load parameter value of an electrical equipment for a future time based on at least one machine learning model and a plurality of load parameter values comprising a set of predefined number of load parameter values extracted from a time series data stream of load parameter values obtained for the electrical equipment;
- calculate an overload capability for the future time based on the predicted load parameter value;
- and
- change at least one parameter associated with the electrical equipment at the present time based on the calculated overload capability for the future time.
Dependencies are inferred from the claim text.