Multivariable prediction method fusing population and electrical load
The invention discloses a multivariable prediction method fusing population and electrical load. The multivariable prediction method comprises the following steps: S1, obtaining population flow data, day granularity electric quantity prediction data and meteorological data; s2, carrying out feature...
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creator | WEN MING TANG JUN TU ZHAOYING XU BINKUN LI WENYING LIAO JING TANG JINGJUN |
description | The invention discloses a multivariable prediction method fusing population and electrical load. The multivariable prediction method comprises the following steps: S1, obtaining population flow data, day granularity electric quantity prediction data and meteorological data; s2, carrying out feature division on all data, and constructing a data set available for the prediction model; s3, performing data division based on the prediction period, and selecting a training set, a test set and a verification set; s4, based on the population flow data set, the input features and the output features, modeling is performed through a tree model, a Prophet model and a multiple linear regression model, a population flow prediction result is obtained, and polarity linear fusion is performed on the population flow prediction result; and S5, based on the electricity consumption data set, the population flow prediction result and the meteorological data, performing modeling through a tree model, a Prophet model and a multiple |
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The multivariable prediction method comprises the following steps: S1, obtaining population flow data, day granularity electric quantity prediction data and meteorological data; s2, carrying out feature division on all data, and constructing a data set available for the prediction model; s3, performing data division based on the prediction period, and selecting a training set, a test set and a verification set; s4, based on the population flow data set, the input features and the output features, modeling is performed through a tree model, a Prophet model and a multiple linear regression model, a population flow prediction result is obtained, and polarity linear fusion is performed on the population flow prediction result; and S5, based on the electricity consumption data set, the population flow prediction result and the meteorological data, performing modeling through a tree model, a Prophet model and a multiple</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221216&DB=EPODOC&CC=CN&NR=115481783A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221216&DB=EPODOC&CC=CN&NR=115481783A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WEN MING</creatorcontrib><creatorcontrib>TANG JUN</creatorcontrib><creatorcontrib>TU ZHAOYING</creatorcontrib><creatorcontrib>XU BINKUN</creatorcontrib><creatorcontrib>LI WENYING</creatorcontrib><creatorcontrib>LIAO JING</creatorcontrib><creatorcontrib>TANG JINGJUN</creatorcontrib><title>Multivariable prediction method fusing population and electrical load</title><description>The invention discloses a multivariable prediction method fusing population and electrical load. 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The multivariable prediction method comprises the following steps: S1, obtaining population flow data, day granularity electric quantity prediction data and meteorological data; s2, carrying out feature division on all data, and constructing a data set available for the prediction model; s3, performing data division based on the prediction period, and selecting a training set, a test set and a verification set; s4, based on the population flow data set, the input features and the output features, modeling is performed through a tree model, a Prophet model and a multiple linear regression model, a population flow prediction result is obtained, and polarity linear fusion is performed on the population flow prediction result; and S5, based on the electricity consumption data set, the population flow prediction result and the meteorological data, performing modeling through a tree model, a Prophet model and a multiple</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Multivariable prediction method fusing population and electrical load |
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