🕔 Call For Paper — Vol. 12  |  Issue 4  |  December 2026  |  Deadline: 20-Dec-2026
Track Paper Submit Paper Contact

Paper Details

Home › Archives › Paper Details
← Back to Issue
Vol. 4  No. 5 (2018) · Articles

Issues, Challenges and Comparison of Electricity Demand Forecasting Techniques with ANN based Techniques

Gitika Sharma
Department of Computer Science & Engineering, Chandigarh university , IN

Jaskaran Kaur
Department of Computer Science & Engineering, Chandigarh university , IN

📅 Published: May 2018

Keywords: Demand forecasting, smart city, ANN, ICT, Electricity management system.

📄 View / Download PDF ⬇ Download

Abstract

Expansion of geographical boundaries of urban regions, increase in number of urban centres and growth in population size including increase in population, are major factors contributing towards rapid urbanization. This rapid urbanization creates various challenges in building smart cities. One of the major challenge is to forecast the electricity demand. This paper presents the various problems and challenges while forecasting electricity demand and also compares the various conventional techniques and comparison between ANN techniques. We Also proposed a solution for forecasting the demand electricity.

How to Cite

Gitika Sharma, Jaskaran Kaur, “Issues, Challenges and Comparison of Electricity Demand Forecasting Techniques with ANN based Techniques,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 4, no. 5, pp. 1114-1121, May 2018.

References

NA

🔒 Content is protected — © IJTIMES