메뉴 건너뛰기




Volumn 19, Issue 1, 2004, Pages 563-568

Data Mining for Detection of Sensitive Buses and Influential Buses in a Power System Subjected to Disturbances

Author keywords

Data mining; Load reduction; Power system disturbance; Sensitive buses; Voltage recovery enhancement

Indexed keywords

CORRELATION METHODS; DATA MINING; DATABASE SYSTEMS; ELECTRIC LOADS; ELECTRIC POTENTIAL; ELECTRIC SUBSTATIONS; RANDOM PROCESSES; SENSITIVITY ANALYSIS;

EID: 1442288870     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2003.821479     Document Type: Article
Times cited : (24)

References (13)
  • 3
    • 0030082222 scopus 로고    scopus 로고
    • Data mining and forecasting in large-scale telecommunications network
    • R. Sasisekharan and V. Seshadri, "Data mining and forecasting in large-scale telecommunications network," IEEE Expert Mag., vol. 11, pp. 37-43, 1996.
    • (1996) IEEE Expert Mag. , vol.11 , pp. 37-43
    • Sasisekharan, R.1    Seshadri, V.2
  • 4
    • 1442336892 scopus 로고
    • A rule based process control method with feedback
    • Chicago, IL: Instrument Soc. Amer.
    • W. Leech, "A rule based process control method with feedback," in Proc. Int. Conf. Exhibit. Chicago, IL: Instrument Soc. Amer., 1986.
    • (1986) Proc. Int. Conf. Exhibit
    • Leech, W.1
  • 5
    • 17144442508 scopus 로고    scopus 로고
    • Obtaining expert system rules using data mining tools from a power generation database
    • M.-L. Manuel and R.-O. Guillermo, "Obtaining expert system rules using data mining tools from a power generation database," Expert Syst. Applicat., vol. 14, pp. 31-42, 1998.
    • (1998) Expert Syst. Applicat. , vol.14 , pp. 31-42
    • Manuel, M.-L.1    Guillermo, R.-O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.