Next day electric load forecasting using Artificial Neural Networks

8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015

Volumn , Issue , 2016, Pages

  Velasco, Lemuel Clark P ^a   Villezas, Christelle R ^b   Palahang, Prinz Nikko C ^c   Dagaang, Jerald Aldin A ^d  

^a MINDANAO STATE UNIVERSITY ILIGAN INSTITUTE OF TECHNOLOGY   (Philippines)

^b Advanced World Systems   (Philippines)

^c WebForest IT Consultancy   (Philippines)

^d Convergys Corporation ^*  (Philippines)

Author keywords

Artificial Neural Network; Electric Load; Electric Power Load Forecasting; Neural Networks

Indexed keywords

ELECTRIC LOADS; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER PLANT LOADS; ENVIRONMENTAL MANAGEMENT; ERRORS; FORECASTING; INTEGRATION TESTING; LOAD TESTING; MEAN SQUARE ERROR; NANOTECHNOLOGY; NEURAL NETWORKS;

ELECTRIC LOAD DATUM; ELECTRIC MARKETS; ELECTRIC POWER; FORECASTING TECHNIQUES; MEAN ABSOLUTE PERCENTAGE ERROR; NEURAL NETWORK MODEL; POWER DISTRIBUTION COMPANY; ROOT MEAN SQUARED ERRORS;

ELECTRIC LOAD FORECASTING;

EID: 84965130549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HNICEM.2015.7393166     Document Type: Conference Paper

References (16)

1. Ahuja, D., Tatsunami, M. (2009). Sustainable energy for developing countries. Surveys and perspectives integrating environment and society. Vol. 2, No. 1. Retrieved March 11, 2015 from https://sapiens. revues. org/823
2. Baglaeva, G. (2011). Load Forecasting in Smart Grid Environment. Unpublished master's thesis. Faculty of Technology, Lut Energy Electrical Engineering. Lappeenranta University of Technology.
3. Hong, T. (2010). Short Term Electric Load Forecasting. Unpublished doctorate dissertation. Graduate Faculty of North Carolina State University.
4. Bunn, D. H., & Farmer, E. D. (1985). Comparative models for electrical load forecasting. Wiley, New York, 1985. 24. 95, pp. 232
5. Hayati, M. (2007). Artificial Neural Network Approach for Short Term Load Forecasting for Illam Region. International Journal of Electrical, Computer, and Systems Engineering. Volume 1 Number 2. (pp. 121-125)
6. Che, Z., Chiang, T., Che, Z. (2010). Feed-forward Neural Networks Training: A Comparison Between Genetic Algorithm and Back-propagation Learning Algorithm. International Journal of Innovative Computing, Information and Control, Volume 7 No. 10. (pp. 5839-5850)
7. Hippert, H. S., Pedreira, C. E.; Souza, R. C. (2001). Neural networks for short-term load forecasting: A review and evaluation. IEEE Transactions on Power Systems. Volume 16, Issue 1.
8. Kioko, F., Moturi, C., (2013). Use of Artificial Neural Networks for Short-Term Electricity Load Forecasting of Kenya National Grid Power System. International Journal of Computer Applications. Volume 63, No. 2. (pp. 25-30)
9. Chongqing, K., Xu, C., Qing, X., Yu, S. (1999). A new unified approach to short-term load forecasting considering correlated factors. Automation of Electric Power Systems, Vo1. 23, No. 18. (pp. 32-35)
10. Kumar, M., (2009). Short Term Load Forecasting Using Artificial Neural Network Techniques. Department of Electrical Engineering National Institute of Technology Rourkela.
11. Palchak, D., (2012). An Artificial Neural Network in Short-Term Electrical Load Forecasting of a University Campus: A Case Study. ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology.. Paper No. ES2012-91300 (pp. 709-717)
12. Arafeh, L., & Basbous, R., (2010). Electric Power Load Short Term Forecasting. Proceedings of The International Conference on Information & Communication Technology (ICICT'2012): Applications and Techniques. Al-Quds Open University Deanship of Scientific Research and Graduate Studies. (pp. 63-88)
13. Ali, M., & Ibraheem, I., (2014). Short Term Electric Load Forecasting based on Artificial Neural Networks for Weekends of Baghdad Power Grid. International Journal of Computer Application. Volume 89, No. 3. (pp. 30-37)
14. Benlembarek, K., M. T. Khadifir, F. Benabbas F. (2009). A Web Based System for Short-Term Forecasting of Algerian Electricity Load Using Artificial Neural Network. Proceedings of the 3rd International Conference on Electrical Engineering Design & Technologies.
15. Buhari, M., Adamu, S. S., (2012). Short-Term Load Forecasting Using Artificial Neural Network. Proceedings of the International Multi-Conference of Engineers and Computer Scientist, Vol 1.
16. Soliman H, Sudan K, Mishra A. (2010). A smart forest-fire early detection sensory system: Another approach of utilizing wireless sensor and neural network., IEEE Sensors (pp. 1900-1904)