Global Patent Index - EP 3491591 A1

EP 3491591 A1 20190605 - METHOD FOR PREDICTING CONSUMPTION DEMAND USING AN ADVANCED PREDICTION MODEL

Title (en)

METHOD FOR PREDICTING CONSUMPTION DEMAND USING AN ADVANCED PREDICTION MODEL

Title (de)

VERFAHREN ZUR VORHERSAGE DER KONSUMNACHFRAGE MITHILFE EINES ERWEITERTEN VORHERSAGEMODELLS

Title (fr)

PROCÉDÉ DE PRÉDICTION DE DEMANDE DE CONSOMMATION, UTILISANT UN MODÈLE DE PRÉDICTION PERFECTIONNÉ

Publication

EP 3491591 A1 20190605 (FR)

Application

EP 17740416 A 20170724

Priority

  • FR 1657149 A 20160726
  • EP 2017068646 W 20170724

Abstract (en)

[origin: WO2018019769A1] The invention relates to the management of an electrical power distribution network, by estimating power demand from consumers, comprising the steps: a1) predicting a plurality of link functions, each specific to one type of model and to at least one input parameter (S2); b1) receiving, as input of the computer device, a plurality of respective input parameter values (S1); b2) determining, according to a selected criterion, a classification by order of relevance of the parameters for which the values are received in operation b1) (S6), and; a2) constructing a model based on at least one link function using at least one of the parameters that is the most relevant according to the classification of operation b2), for subsequently implementing step c) (S8; S9).

IPC 8 full level

G06Q 10/04 (2012.01); G06Q 10/06 (2012.01); G06Q 50/06 (2012.01)

CPC (source: EP)

G06Q 10/04 (2013.01); G06Q 10/063 (2013.01); G06Q 50/06 (2013.01); Y04S 10/50 (2013.01)

Citation (search report)

See references of WO 2018019769A1

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

DOCDB simple family (publication)

WO 2018019769 A1 20180201; EP 3491591 A1 20190605; FR 3054703 A1 20180202; FR 3054703 B1 20230428

DOCDB simple family (application)

EP 2017068646 W 20170724; EP 17740416 A 20170724; FR 1657149 A 20160726