GENERATING GREENHOUSE GAS EMISSIONS ESTIMATIONS ASSOCIATED WITH LOGISTICS CONTEXTS USING MACHINE LEARNING TECHNIQUES

GENERATING GREENHOUSE GAS EMISSIONS ESTIMATIONS ASSOCIATED WITH LOGISTICS CONTEXTS USING MACHINE LEARNING TECHNIQUES

Methods, systems, and computer program products for generating GHG emissions estimations associated with logistics contexts using machine learning techniques are provided herein. A computer-implemented method includes obtaining input data related to multiple aspects of at least one logistics context...

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Bibliographische Detailangaben
Hauptverfasser: Padmanaban, Manikandan, Wambugu, Isaac Waweru, Kayongo, Ivan, Hazra, Jagabondhu, Guruprasad, Ranjini Bangalore, Saurav, Kumar
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
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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Zusammenfassung:Methods, systems, and computer program products for generating GHG emissions estimations associated with logistics contexts using machine learning techniques are provided herein. A computer-implemented method includes obtaining input data related to multiple aspects of at least one logistics context; deriving contextual features from the input data by processing the input data using data profiling techniques; training at least one machine learning model related to energy consumption based on the contextual features; generating at least one energy consumption estimate attributed to at least one logistics implementation by processing data pertaining to the at least one logistics implementation using the at least one trained machine learning model; generating at least one greenhouse gas emissions estimate attributed to the at least one logistics implementation based on the at least one energy consumption estimate; and performing automated actions based on the at least one generated greenhouse gas emissions estimate.