LOAD FORECASTING FOR ELECTRICAL EQUIPMENT USING MACHINE LEARNING

LOAD FORECASTING FOR ELECTRICAL EQUIPMENT USING MACHINE LEARNING

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 se...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: CHEIM, Luiz
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung: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.