Invention Application
- Patent Title: METHOD AND APPARATUS FOR DETECTING ABNORMAL TRAFFIC BASED ON CONVOLUTIONAL AUTOENCODER
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Application No.: US16315474Application Date: 2016-12-01
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Publication No.: US20190213694A1Publication Date: 2019-07-11
- Inventor: Jung Il LEE , Hee Jeong PARK , Young Bae PARK , Jun-Sung KIM
- Applicant: KOREA ELECTRIC POWER CORPORATION
- Applicant Address: KR Naju0si
- Assignee: KOREA ELECTRIC POWER CORPORATION
- Current Assignee: KOREA ELECTRIC POWER CORPORATION
- Current Assignee Address: KR Naju0si
- Priority: KR10-2016-0098890 20160803
- International Application: PCT/KR2016/014076 WO 20161201
- Main IPC: G06Q50/06
- IPC: G06Q50/06 ; G06Q30/02 ; G01R22/10 ; H02J3/00

Abstract:
A method of supporting collection of demand resources among electricity consumers in a micro grid may include: selecting a number of demand resource participating customers that are greater than or equal to a predetermined number of households and verifying electricity consumption types for the selected participating customers; calculating electricity consumption patterns and electricity consumption fluctuation rates for the customers who have passed the electricity consumption type verification; assessing potential reduction amounts for the customers who have passed the fluctuation rate calculation; checking whether the number of participating customers is greater than or equal to the predetermined number of households according to demand resource registration criteria and the sum of potential reduction amounts of participating customers satisfies a requirement for a demand reduction amount; and calculating a customer baseline load that maximizes a reduction amount of a customer using customer baseline load calculation methods when a demand resource is configured.
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