Mehran University Research Journal Of Engineering &
Technology (HEC Recognized In Category "X")
Publishing Since 1982.



For Authors
For Readers
Article Information  
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