Title:
FEDERATED LEARNING-BASED REGIONAL PHOTOVOLTAIC POWER PROBABILITY PREDICTION METHOD, AND COOPERATIVE REGULATION AND CONTROL SYSTEM
Document Type and Number:
WIPO Patent Application WO/2021/238505
Kind Code:
A1
Abstract:
A federated learning-based regional photovoltaic power probability prediction method, mainly comprising the following steps: defining each photovoltaic power station participating in probability prediction of a federated learning framework in a region, collecting information and corresponding photovoltaic power variables within a period of time, and collecting the variables according to a time sequence to form a sample data set; carrying out missing value and abnormal value processing on the sample data set obtained in the previous step; segmenting the sample data set of the photovoltaic power station into a training set and a test set according to a certain proportion; normalizing the training set and the test set respectively; constructing a federated learning framework; and establishing a global prediction model by a central server according to prediction requirements, defining a training error function and precision requirements, and distributing a network structure and initialization parameters to each photovoltaic power station.
Inventors:
FANG FANG (CN)
ZHANG XIAONING (CN)
LIU YAJUAN (CN)
WEI LE (CN)
LIU JIZHEN (CN)
ZHANG XIAONING (CN)
LIU YAJUAN (CN)
WEI LE (CN)
LIU JIZHEN (CN)
Application Number:
PCT/CN2021/088458
Publication Date:
December 02, 2021
Filing Date:
April 20, 2021
Export Citation:
Assignee:
UNIV NORTH CHINA ELECTRIC POWER (CN)
International Classes:
G06Q10/04
Foreign References:
| CN111626506A | 2020-09-04 | |||
| CN110689183A | 2020-01-14 | |||
| CN108280551A | 2018-07-13 | |||
| CN108960526A | 2018-12-07 | |||
| US20180046924A1 | 2018-02-15 |
Other References:
WANG SHIJUN; PING CHANG; XUE GUOBIN; WANG DINGGANG; JIANG TAO: "A New Improved Combined Model Algorithm for the Application of Photovoltaic Power Prediction", 2018 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 5 August 2018 (2018-08-05), pages 1334 - 1339, XP033415792, DOI: 10.1109/ICMA.2018.8484377
LIU JUNXU;MENG XIAOFENG: "Survey on Privacy-Preserving Machine Learning", JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT, vol. 57, no. 2, 15 February 2020 (2020-02-15), pages 346 - 362, XP055871703, ISSN: 1000-1239, DOI: 10.7544/issn.1000-1239.20190455
LIU JUNXU;MENG XIAOFENG: "Survey on Privacy-Preserving Machine Learning", JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT, vol. 57, no. 2, 15 February 2020 (2020-02-15), pages 346 - 362, XP055871703, ISSN: 1000-1239, DOI: 10.7544/issn.1000-1239.20190455
Attorney, Agent or Firm:
BEIJING JUNYOU INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP) (CN)
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