METHOD FOR PREDICTING A CHARACTERISTIC RESULTING FROM THE SWELL ON A FLOATING SYSTEM FOR AT LEAST TWO FUTURE TIME STEPS

Patent №

US 10,697,422

Granted

2020-06-30

Filed 2018

Owner

IFP ENERGIES NOUVELLES

Lab

AI components

4

ml · speech · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15965068

The present invention relates to a method allowing short-term prediction of the wave motion (force, elevation, . . . ), from a time series of past wave measurements. The prediction method according to the invention is based on the estimation of the variable coefficients of an autoregressive model while allowing multi-step minimization, that is over a horizon of several time steps in the future, of the prediction error.

Machine learningSpeechPlanningEvolutionary computationF03B 13/14F03B 13/08F03B 13/16F03B 15/04G01C 13/004G06F 17/18F05B 2240/95F05B 2260/821+4 more

AI classification

Machine learning1.00
Evolutionary computation1.00
Planning1.00
Speech0.98
Natural language0.01
AI hardware0.00
Knowledge representation0.00
Vision0.00

Ownership

IFP ENERGIES NOUVELLES

assignment · 458370914

Assignors

NGUYEN, HOAI-NAM, TONA, PAOLINO

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

From the same owner

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