Power load prediction method and terminal
The invention is suitable for the technical field of power, and provides a power load prediction method and a terminal, and the method comprises the steps: obtaining historical load data and influence factor information of a power grid on a reference day, wherein the reference day is a day before a...
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| creator | LI ZHENG SHI LEILEI TANG CHAO XU HUABO SONG HUIMIN LI ZHEN WANG XIGENG ZUO YUJUN SHI JINGYI CHI XIUKAI ZHAO HONGDA HE XINYING QIN ZHAOLEI FAN ZENG WANG MANRAN YANG BO MA PENGCHENG LI QIAN |
| description | The invention is suitable for the technical field of power, and provides a power load prediction method and a terminal, and the method comprises the steps: obtaining historical load data and influence factor information of a power grid on a reference day, wherein the reference day is a day before a prediction day, and the influence factor information comprises air temperature information and holiday and festival information; obtaining influence factor information of the prediction day; according to the influence factor information of the reference day and the influence factor information of the prediction day, adjusting historical load data of the power grid on the reference day; and inputting the adjusted historical load data of the power grid on the reference day into a pre-trained neural network prediction model for prediction to obtain load data on the prediction day. The prediction accuracy of the neural network prediction model can be effectively improved.
本发明适用于电力技术领域，提供了一种电力负荷预测方法及终端，包括：获取参考日电网的历史负荷数据 |
| format | Patent |
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本发明适用于电力技术领域，提供了一种电力负荷预测方法及终端，包括：获取参考日电网的历史负荷数据</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>2021</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=20211116&DB=EPODOC&CC=CN&NR=113657936A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211116&DB=EPODOC&CC=CN&NR=113657936A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI ZHENG</creatorcontrib><creatorcontrib>SHI LEILEI</creatorcontrib><creatorcontrib>TANG CHAO</creatorcontrib><creatorcontrib>XU HUABO</creatorcontrib><creatorcontrib>SONG HUIMIN</creatorcontrib><creatorcontrib>LI ZHEN</creatorcontrib><creatorcontrib>WANG XIGENG</creatorcontrib><creatorcontrib>ZUO YUJUN</creatorcontrib><creatorcontrib>SHI JINGYI</creatorcontrib><creatorcontrib>CHI XIUKAI</creatorcontrib><creatorcontrib>ZHAO HONGDA</creatorcontrib><creatorcontrib>HE XINYING</creatorcontrib><creatorcontrib>QIN ZHAOLEI</creatorcontrib><creatorcontrib>FAN ZENG</creatorcontrib><creatorcontrib>WANG MANRAN</creatorcontrib><creatorcontrib>YANG BO</creatorcontrib><creatorcontrib>MA PENGCHENG</creatorcontrib><creatorcontrib>LI QIAN</creatorcontrib><title>Power load prediction method and terminal</title><description>The invention is suitable for the technical field of power, and provides a power load prediction method and a terminal, and the method comprises the steps: obtaining historical load data and influence factor information of a power grid on a reference day, wherein the reference day is a day before a prediction day, and the influence factor information comprises air temperature information and holiday and festival information; obtaining influence factor information of the prediction day; according to the influence factor information of the reference day and the influence factor information of the prediction day, adjusting historical load data of the power grid on the reference day; and inputting the adjusted historical load data of the power grid on the reference day into a pre-trained neural network prediction model for prediction to obtain load data on the prediction day. The prediction accuracy of the neural network prediction model can be effectively improved.
本发明适用于电力技术领域，提供了一种电力负荷预测方法及终端，包括：获取参考日电网的历史负荷数据</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAMyC9PLVLIyU9MUSgoSk3JTC7JzM9TyE0tychPUUjMS1EoSS3KzcxLzOFhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGxmam5pbGZo7GxKgBAPxcKLA</recordid><startdate>20211116</startdate><enddate>20211116</enddate><creator>LI ZHENG</creator><creator>SHI LEILEI</creator><creator>TANG CHAO</creator><creator>XU HUABO</creator><creator>SONG HUIMIN</creator><creator>LI ZHEN</creator><creator>WANG XIGENG</creator><creator>ZUO YUJUN</creator><creator>SHI JINGYI</creator><creator>CHI XIUKAI</creator><creator>ZHAO HONGDA</creator><creator>HE XINYING</creator><creator>QIN ZHAOLEI</creator><creator>FAN ZENG</creator><creator>WANG MANRAN</creator><creator>YANG BO</creator><creator>MA PENGCHENG</creator><creator>LI QIAN</creator><scope>EVB</scope></search><sort><creationdate>20211116</creationdate><title>Power load prediction method and terminal</title><author>LI ZHENG ; SHI LEILEI ; TANG CHAO ; XU HUABO ; SONG HUIMIN ; LI ZHEN ; WANG XIGENG ; ZUO YUJUN ; SHI JINGYI ; CHI XIUKAI ; ZHAO HONGDA ; HE XINYING ; QIN ZHAOLEI ; FAN ZENG ; WANG MANRAN ; YANG BO ; MA PENGCHENG ; LI QIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113657936A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>LI ZHENG</creatorcontrib><creatorcontrib>SHI LEILEI</creatorcontrib><creatorcontrib>TANG CHAO</creatorcontrib><creatorcontrib>XU HUABO</creatorcontrib><creatorcontrib>SONG HUIMIN</creatorcontrib><creatorcontrib>LI ZHEN</creatorcontrib><creatorcontrib>WANG XIGENG</creatorcontrib><creatorcontrib>ZUO YUJUN</creatorcontrib><creatorcontrib>SHI JINGYI</creatorcontrib><creatorcontrib>CHI XIUKAI</creatorcontrib><creatorcontrib>ZHAO HONGDA</creatorcontrib><creatorcontrib>HE XINYING</creatorcontrib><creatorcontrib>QIN ZHAOLEI</creatorcontrib><creatorcontrib>FAN ZENG</creatorcontrib><creatorcontrib>WANG MANRAN</creatorcontrib><creatorcontrib>YANG BO</creatorcontrib><creatorcontrib>MA PENGCHENG</creatorcontrib><creatorcontrib>LI QIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI ZHENG</au><au>SHI LEILEI</au><au>TANG CHAO</au><au>XU HUABO</au><au>SONG HUIMIN</au><au>LI ZHEN</au><au>WANG XIGENG</au><au>ZUO YUJUN</au><au>SHI JINGYI</au><au>CHI XIUKAI</au><au>ZHAO HONGDA</au><au>HE XINYING</au><au>QIN ZHAOLEI</au><au>FAN ZENG</au><au>WANG MANRAN</au><au>YANG BO</au><au>MA PENGCHENG</au><au>LI QIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Power load prediction method and terminal</title><date>2021-11-16</date><risdate>2021</risdate><abstract>The invention is suitable for the technical field of power, and provides a power load prediction method and a terminal, and the method comprises the steps: obtaining historical load data and influence factor information of a power grid on a reference day, wherein the reference day is a day before a prediction day, and the influence factor information comprises air temperature information and holiday and festival information; obtaining influence factor information of the prediction day; according to the influence factor information of the reference day and the influence factor information of the prediction day, adjusting historical load data of the power grid on the reference day; and inputting the adjusted historical load data of the power grid on the reference day into a pre-trained neural network prediction model for prediction to obtain load data on the prediction day. The prediction accuracy of the neural network prediction model can be effectively improved.
本发明适用于电力技术领域，提供了一种电力负荷预测方法及终端，包括：获取参考日电网的历史负荷数据</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 | Power load prediction method and terminal |
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