A simple forecasting model for industrial electric energy consumption

International Journal of Energy Research

Volumn 24, Issue 8, 2000, Pages 719-726

  Al Shehri, Abdallah ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Electrical energy; Forecasting; Polynomial fit

Indexed keywords

SOFTWARE PACKAGE MATLAB;

COMPUTER AIDED ANALYSIS; COMPUTER SOFTWARE; ENERGY UTILIZATION; INDUSTRIAL PLANTS; MATHEMATICAL MODELS; POLYNOMIALS;

ELECTRICITY;

EID: 0346675254     PISSN: 0363907X     EISSN: None     Source Type: Journal    
DOI: 10.1002/1099-114X(20000625)24:8<719::AID-ER627>3.0.CO;2-4     Document Type: Article

References (6)

1. Al-Garni AZ, Zubair SM, Nizami JS. 1994. A regression model for electric energy consumption forecasting in Eastern Saudi Arabia. Energy - The International Journal 19(10):1043-1049.
2. Al-Shehri M. 1999. Artificial neural network for forecasting residential electrical energy. International Journal of Energy Research 23:649-661.
3. MATLAB User Guide. 1999. January 21.
4. Ministry of Industry and Electricity. 1997. Electricity growth and development in the kingdom of Saudi Arabia. Annual Report.
5. Nizami JS, Al-Garni AZ. 1996. Forecasting electric energy consumption using neural network. Energy Policy 23(12):1097-1104.
6. Tonn BE, White DL. 1988. Residential electricity use, wood use, and indoor temperature: an econometric model. Energy Systems and Policy 12(3):151-165.