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- W2384665408 abstract "By using electricity load and daily meteorological data in Suzhou during Aug. 2008-Sep. 2010,the relationship was analyzed,the electricity load model was established,the early-warning system platform was developed. The research of this system,which mainly focuses on the relationship between meteorological elements and electrical load,is used to design a short-term prediction model,which combines the CS and BS terminal access technology of WEB,data mining technology,multi factor regression technology and the set of optimal factor combination technology. Based on the characteristics of different seasons,we design short-term prediction of Suzhou electricity grid system load for 5 days by dividing a day into 5 periods. The system is stable and easy to operate during the test operation period,the short-term load early-warning precise is high. The system strength the guaranteeing ability of electricity safety supply in Suzhou and promote cooperation and sharing in information and technique,which will provide scientific basis for planning of Suzhou electricity grid." @default.
- W2384665408 created "2016-06-24" @default.
- W2384665408 creator A5070078212 @default.
- W2384665408 date "2014-01-01" @default.
- W2384665408 modified "2023-09-28" @default.
- W2384665408 title "On Relationship between Electricity grid system load and meteorological conditions in Suzhou and Forecasting System Design" @default.
- W2384665408 hasPublicationYear "2014" @default.
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