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案件記録

WATER DEMAND FORECASTING METHOD AND SYSTEM, DEVICE, AND MEDIUM

発明審査中
1閲覧数
10請求項 · 4 独立
§ Ⅰ

案件概要

発明者

Zejun LI; Jingwen ZHANG; Chao TAN; Bikui ZHAO; Bensheng HUANG; Danni JIA

IPC分類

G6F 30/28G6Q 50/6

CPC分類

G6F30/28G6Q50/6

A water demand forecasting method includes: preprocessing first raw water consumption data to obtain first historical water consumption data and preprocessing second raw water consumption data to obtain second historical water consumption data; constructing a network structure model based on the first historical water consumption data and the second historical water consumption data, and acquiring a spatial water demand correlation strength output by the network structure model; inputting the first historical water consumption data into a temporal memory model for forecasting a water demand of the first water consumption region based on temporal dependencies in the first historical water consumption data, resulting in a first temporal water demand forecast result; and applying spatial adjustment, based on the spatial water demand correlation strength and the second historical water consumption data, to the first temporal water demand forecast result, to obtain a target water demand result.

原文(中国語)

A water demand forecasting method includes: preprocessing first raw water consumption data to obtain first historical water consumption data and preprocessing second raw water consumption data to obtain second historical water consumption data; constructing a network structure model based on the first historical water consumption data and the second historical water consumption data, and acquiring a spatial water demand correlation strength output by the network structure model; inputting the first historical water consumption data into a temporal memory model for forecasting a water demand of the first water consumption region based on temporal dependencies in the first historical water consumption data, resulting in a first temporal water demand forecast result; and applying spatial adjustment, based on the spatial water demand correlation strength and the second historical water consumption data, to the first temporal water demand forecast result, to obtain a target water demand result.

外部リソース