LOAD PREDICTION MODEL TRAINING METHOD AND APPARATUS, STORAGE MEDIUM, AND DEVICE

WIPO Patent Application WO/2022/077693

A1

Disclosed in the present invention are a load prediction model training method and apparatus for use in an electric vehicle charging station, a storage medium, and a device. The training method comprises: obtaining the historical load state data of a charging station at a plurality of moments, wherein the historical load state data at each moment comprises a plurality of types of historical variable data and corresponding real load data; sequentially and independently predicting each type of historical variable data at each moment by using a preset model, so as to generate a plurality of groups of predicted load data; and according to a reinforcement learning method, using the plurality of groups of predicted load data and the real load data to train the weight data group of a load prediction model to be trained. The prediction precision is improved by using a plurality of types of historical variable data. Moreover, extracting more useful information from inputted data by using a phase space reconstruction technology improves the calculation performance of the model. Using a GRU neural network to predict the inputted data accelerates a calculation speed, and improves the prediction precision of the model by combining the Q learning algorithm.

YANG ZHILE (CN)
ZHU JUNCHENG (CN)
GUO YUANJUN (CN)
FENG WEI (CN)
ZHANG YANHUI (CN)

PCT/CN2020/129507

April 21, 2022

November 17, 2020

Click for automatic bibliography generation  

SHENZHEN INST OF ADV TECH CAS (CN)

G06Q10/04

CN109711620A	2019-05-03
CN110633867A	2019-12-31
CN110263984A	2019-09-20
CN111476435A	2020-07-31
US20130110756A1	2013-05-02

BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)

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