WATER DEMAND FORECASTING METHOD AND SYSTEM, DEVICE, AND MEDIUM
개요
출원인
GUANGDONG RESEARCH INSTITUTE OF WATER RESOURCES AND HYDROPOWER; SUN YAT-SEN UNIVERSITY
발명자
Zejun LI; Jingwen ZHANG; Chao TAN; Bikui ZHAO; Bensheng HUANG; Danni JIA
IPC 분류
CPC 분류
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.
원문 (중국어)
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.