Least Square Regression Based Integrated Multi-Parameteric
Demand Modeling for Short Term Load Forecasting
Keywords: Load Modeling, Short-Term Load Forecasting, Regression Technique, Least Square
Error, Load Forecasting Error
Mehran University Research Journal of Engineering & Technology
Volume 33 , Issue 2
IRFAN AHMED HALEPOTO , MOHAMMAD ASLAM UQAILI , BHAWANI SHANKAR CHOWDHRY ,
References
1. |
Uqaili, M.A., and Harijan, K., "Energy, Environment
and Sustainable Development", Springer, 2011 |
2. |
Hahn, H., Meyer-Nieberg, S., and Pickl, S., "Electric
Load Forecasting Methods: Tools for Decision Making",
European Journal of Operational Research, 2009.
199(3): p. 902-907 |
3. |
Henley, A., and Peirson, J., "Non-Linearities in Electricity
Demand and Temperature: Parametric Versus NonParametric Methods", Oxford Bulletin of Economics
and Statistics, Volume 59, No. 1, pp. 149-162, 1997 |
4. |
Abrahamse, W., and Steg, L., "How do SocioDemographic and Psychological Factors Relate to
Households' Direct and Indirect Energy use and Savings",
Journal of Economic Psychology, Volume 30, No. 5,
pp. 711-720, 2009 |
5. |
Apadula, F., et al., "Relationships between Meteorological
Variables and Monthly Electricity Demand", Applied
Energy, Volume 98, pp. 346-356, 2012 |
|
|
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