DEEP LEARNING-BASED BUILDING ENERGY MANAGEMENT METHOD AND DEVICE

Title:

DEEP LEARNING-BASED BUILDING ENERGY MANAGEMENT METHOD AND DEVICE

Document Type and Number:

WIPO Patent Application WO/2021/235670

Kind Code:

A1

Abstract:

The present embodiment provides a method and a device for building energy management, in which in order to integrally predict a demand and production of cooling or heating energy in a large building and reduce consumption and cost, an energy demand is predicted on the basis of deep learning, and then one of multiple energy production methods which can satisfy the predicted demand is selected, so that energy consumption can be optimized in an aspect of cost.

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Inventors:

PARK JUNG KYU (KR)
OH SANG YEOP (KR)
KIM SUNG IL (KR)

Application Number:

PCT/KR2021/003690

Publication Date:

November 25, 2021

Filing Date:

March 25, 2021

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Assignee:

AUTOSEMANTICS INC (KR)

International Classes:

G06Q50/06; G06N3/08; G06Q50/10

Foreign References:

KR101873333B1	2018-08-03
KR101969505B1	2019-08-14
JP2018025962A	2018-02-15
KR20150000602A	2015-01-05
KR20180084417A	2018-07-25

Attorney, Agent or Firm:

LEE, Chulhee (KR)

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