CL2022001767A1 - Método y aparato para la predicción del consumo de energía, dispositivo y medio de almacenamiento - Google Patents

Método y aparato para la predicción del consumo de energía, dispositivo y medio de almacenamiento

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Publication number
CL2022001767A1
CL2022001767A1 CL2022001767A CL2022001767A CL2022001767A1 CL 2022001767 A1 CL2022001767 A1 CL 2022001767A1 CL 2022001767 A CL2022001767 A CL 2022001767A CL 2022001767 A CL2022001767 A CL 2022001767A CL 2022001767 A1 CL2022001767 A1 CL 2022001767A1
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CL
Chile
Prior art keywords
time period
variable
reference variable
power consumption
energy consumption
Prior art date
Application number
CL2022001767A
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English (en)
Inventor
Cheng Qi
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Publication date
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Publication of CL2022001767A1 publication Critical patent/CL2022001767A1/es

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2639—Energy management, use maximum of cheap power, keep peak load low

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Operations Research (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Water Supply & Treatment (AREA)
  • Quality & Reliability (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Power Engineering (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Se proporcionan un método y un aparato para predecir el consumo de energía, un dispositivo y un medio de almacenamiento legible. El método incluye: adquirir una variable de referencia generada en un período de tiempo histórico; y adquirir el consumo de energía pronosticado en un período de tiempo objetivo ingresando una característica variable en un modelo de predicción de consumo de energía, teniendo el período de tiempo objetivo y el período de tiempo histórico una relación correspondiente, y el modelo de predicción de consumo de energía se obtiene entrenando una variable de referencia de muestra marcado con consumo de energía de muestra. En el método, se adquiere la variable de referencia que incluye una variable de referencia discreta y una variable de referencia continua en el período de tiempo histórico, y se adquiere una característica de la variable de referencia adquirida; y una característica variable extraída se introduce en un modelo de predicción variable para generar el consumo de energía previsto en el período de tiempo objetivo.
CL2022001767A 2019-12-31 2022-06-28 Método y aparato para la predicción del consumo de energía, dispositivo y medio de almacenamiento CL2022001767A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911405459.9A CN111539841A (zh) 2019-12-31 2019-12-31 电量预测方法、装置、设备及可读存储介质

Publications (1)

Publication Number Publication Date
CL2022001767A1 true CL2022001767A1 (es) 2022-11-25

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ID=71976651

Family Applications (1)

Application Number Title Priority Date Filing Date
CL2022001767A CL2022001767A1 (es) 2019-12-31 2022-06-28 Método y aparato para la predicción del consumo de energía, dispositivo y medio de almacenamiento

Country Status (12)

Country Link
US (1) US20230049089A1 (es)
EP (1) EP4085387A4 (es)
JP (1) JP2022552450A (es)
KR (1) KR102531593B1 (es)
CN (1) CN111539841A (es)
AU (1) AU2020418399A1 (es)
BR (1) BR112022013053A2 (es)
CA (1) CA3166446A1 (es)
CL (1) CL2022001767A1 (es)
MX (1) MX2022008117A (es)
WO (1) WO2021137759A1 (es)
ZA (1) ZA202208346B (es)

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CN112036737B (zh) * 2020-08-28 2024-01-09 京东方科技集团股份有限公司 区域电量偏差的计算方法及装置
CN112153216A (zh) * 2020-09-16 2020-12-29 Oppo广东移动通信有限公司 电量预警方法及装置、终端设备、存储介质
CN113222269A (zh) * 2021-05-24 2021-08-06 郑州轻工业大学 基于大数据和人工智能的信息处理方法、系统和存储介质
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Also Published As

Publication number Publication date
MX2022008117A (es) 2022-09-19
JP2022552450A (ja) 2022-12-15
WO2021137759A1 (en) 2021-07-08
ZA202208346B (en) 2022-10-26
EP4085387A1 (en) 2022-11-09
AU2020418399A1 (en) 2022-07-21
US20230049089A1 (en) 2023-02-16
CN111539841A (zh) 2020-08-14
KR20220117336A (ko) 2022-08-23
KR102531593B1 (ko) 2023-05-11
CA3166446A1 (en) 2021-07-08
EP4085387A4 (en) 2023-06-07
BR112022013053A2 (pt) 2022-09-06

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