CN114022021A - 一种基于集成学习的在线机组负荷预测方法 - Google Patents

一种基于集成学习的在线机组负荷预测方法 Download PDF

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CN114022021A
CN114022021A CN202111357431.XA CN202111357431A CN114022021A CN 114022021 A CN114022021 A CN 114022021A CN 202111357431 A CN202111357431 A CN 202111357431A CN 114022021 A CN114022021 A CN 114022021A
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unit load
model
load prediction
prediction method
features
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周东阳
曹军
万松森
王承文
郑小刚
刘爱君
安玉强
唐贝
张骁
王帆
宋志坚
蔡连成
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Xian Thermal Power Research Institute Co Ltd
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Xian Thermal Power Research Institute Co Ltd
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Priority to CN202111357431.XA priority Critical patent/CN114022021A/zh
Publication of CN114022021A publication Critical patent/CN114022021A/zh
Priority to PCT/CN2022/131741 priority patent/WO2023088212A1/fr
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
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    • 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
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    • 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"
    • 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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • 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
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CN202111357431.XA 2021-11-16 2021-11-16 一种基于集成学习的在线机组负荷预测方法 Pending CN114022021A (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202111357431.XA CN114022021A (zh) 2021-11-16 2021-11-16 一种基于集成学习的在线机组负荷预测方法
PCT/CN2022/131741 WO2023088212A1 (fr) 2021-11-16 2022-11-14 Procédé de prédiction d'unité de charge en ligne fondé sur un apprentissage ensembliste

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CN202111357431.XA CN114022021A (zh) 2021-11-16 2021-11-16 一种基于集成学习的在线机组负荷预测方法

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CN114022021A true CN114022021A (zh) 2022-02-08

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WO (1) WO2023088212A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114444821A (zh) * 2022-04-12 2022-05-06 国网湖北省电力有限公司电力科学研究院 面向电力物联网的集成学习负荷预测方法、系统及介质
WO2023088212A1 (fr) * 2021-11-16 2023-05-25 西安热工研究院有限公司 Procédé de prédiction d'unité de charge en ligne fondé sur un apprentissage ensembliste

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116544931B (zh) * 2023-06-27 2023-12-01 北京理工大学 基于集成片段变换和时间卷积网络的电力负荷分布预测方法
CN116632842B (zh) * 2023-07-26 2023-11-10 国网山东省电力公司信息通信公司 基于聚类特性的台区分布式光伏负荷概率预测方法及系统
CN117239731B (zh) * 2023-09-21 2024-02-27 山东工商学院 基于混合模型的节假日短期电力负荷预测方法
CN117078047B (zh) * 2023-10-16 2024-02-23 华能济南黄台发电有限公司 一种基于lstm的热负荷预测与分配优化方法及系统
CN117909928B (zh) * 2024-03-19 2024-05-28 国网四川省电力公司成都供电公司 基于大数据分析的空调负荷预测方法及系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9639643B2 (en) * 2014-06-06 2017-05-02 General Electric Company Method and system for generating electric load models
CN110084424A (zh) * 2019-04-25 2019-08-02 国网浙江省电力有限公司 一种基于lstm与lgbm的电力负荷预测方法
CN113205207A (zh) * 2021-04-19 2021-08-03 深圳供电局有限公司 一种基于XGBoost算法的用电短期负荷波动预测方法及系统
CN114022021A (zh) * 2021-11-16 2022-02-08 西安热工研究院有限公司 一种基于集成学习的在线机组负荷预测方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023088212A1 (fr) * 2021-11-16 2023-05-25 西安热工研究院有限公司 Procédé de prédiction d'unité de charge en ligne fondé sur un apprentissage ensembliste
CN114444821A (zh) * 2022-04-12 2022-05-06 国网湖北省电力有限公司电力科学研究院 面向电力物联网的集成学习负荷预测方法、系统及介质

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