METHODS AND SYSTEMS FOR AUTOMATING CARBON FOOTPRINTING

Patent №

US 9,524,463

Granted

2016-12-20

Filed 2013

Owner

THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

Lab

AI components

4

kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13578297

Methods and systems for automating carbon footprinting are disclosed. In some embodiments, the methods include a plurality of steps. In some embodiments, related to predetermined resources associated with an item from predetermined data sources is obtained. Then, estimated emission factors are calculated for each of the resourced. Next, a contributory uncertainty of the data and of the emission factors is determined. Then, a user is guided based on a comparison of the respective contributory uncertainty of data related to the resources or emission factors Next, both data related to the resources and the estimated emission factors of the resources are utilized to determine a carbon footprint of the item.

Knowledge representationPlanningEvolutionary computationAI hardwareG06N 5/02G06Q 10/00G06Q 10/0639G06Q 30/018G06Q 50/06Y02P 90/84Y02P 90/845

AI classification

Planning1.00
AI hardware0.97
Knowledge representation0.82
Evolutionary computation0.77
Machine learning0.30
Natural language0.07
Speech0.01
Vision0.00

Ownership

THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

assignment · 300470540

Assignors

MEINRENKEN, CHRISTOPH JOHANNES, LACKNER, KLAUS S.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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