SCOPUS 정보 검색 플랫폼

Volumn 13, Issue 5, 2006, Pages 21-24

Demand of Electric Power and Its Forecasting in Iron and Steel Complex

Author keywords

load forecasting; model combination; scheme filtration; steel production

Indexed keywords

EID: 33748978263 PISSN: 1006706X EISSN: None Source Type: Journal
DOI: 10.1016/S1006-706X(06)60089-7 Document Type: Article

Times cited : (6)

References (7)

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- Sakamoto, Y.¹ Tonooka, Y.² Yanagisawa, Y.³

2
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- Research on Short Term Load Forecasting in Steel Enterprise [J]
- ZHENG J., DU X.-h., and SHI X.-q. Research on Short Term Load Forecasting in Steel Enterprise [J]. Demand Side Management 6 1 (2004) 18-21
- (2004) Demand Side Management , vol.6 , Issue.1 , pp. 18-21
- ZHENG, J.¹ DU, X.-h.² SHI, X.-q.³

3
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- Principles of Electricity Demand Forecasting. I. Methodologies [J]
- Al-Alawi, and Islam S. Principles of Electricity Demand Forecasting. I. Methodologies [J]. IEEE Power Engineering Journal 10 3 (1996) 139-143
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- Al-Alawi¹ Islam, S.²

4
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- Principles of Electricity Demand Forecasting. II. Applications [J]
- Islam S., and Al-Alawi. Principles of Electricity Demand Forecasting. II. Applications [J]. IEEE Power Engineering Journal 11 2 (1997) 91-95
- (1997) IEEE Power Engineering Journal , vol.11 , Issue.2 , pp. 91-95
- Islam, S.¹ Al-Alawi²

5
- 0035048735
- Univariate Modeling and Forecasting of Energy Consumption: the Case of Electricity in Lebanon [J]
- Saab, Samer, Badr, et al. Univariate Modeling and Forecasting of Energy Consumption: the Case of Electricity in Lebanon [J]. Energy 26 1 (2001) 1-14
- (2001) Energy , vol.26 , Issue.1 , pp. 1-14
- Saab¹ Samer² Badr³

6
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- On Theory and Method of Model Selection Based on Predict Risk Minimization [J]
- SHENG S.-z., and WANG D.-b. On Theory and Method of Model Selection Based on Predict Risk Minimization [J]. Systems Engineering 4 22 (2004) 100-103
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7
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- Random Approximated Greedy Search for Feature Subset Selection [J]
- GAO F., and HO Y.-c. Random Approximated Greedy Search for Feature Subset Selection [J]. Asian Journal of Control 6 3 (2004) 440-447
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- GAO, F.¹ HO, Y.-c.²

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.