Telephone Traffic Forecasting of Electric System Based on Multi-factor Decomposition

DOI

10.2991/eeeis-17.2017.55How to use a DOI?

Keywords

telephone traffic forecasting; electric system; multi-factors decomposition.

Abstract

Many factors can affect the telephone traffic of power supply service center. And telephone traffic forecasting would help to estimate the population size, make schedule analysis and copy with the sudden situation. We use some province data of 95598 call center as an instance to analyze factors using time series data as well as extra domain knowledge in order to get the routine rules of telephone traffic. Combining those two to detect the noise and outliers and confirm three factors which respectively are scheduled outage, time, and weekday affecting the traffic flow. The developed time series decomposition model combined with the domain factors is introduced here to make a more accurate relative error, especially when it comes to the rush hour in day time.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo HU
AU  - Xiao-Ling REN
AU  - Cai-Jun ZHANG
AU  - Hua-Qin Qin
AU  - Chong-Hui GUO
PY  - 2017/09
DA  - 2017/09
TI  - Telephone Traffic Forecasting of Electric System Based on Multi-factor Decomposition
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 394
EP  - 402
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.55
DO  - 10.2991/eeeis-17.2017.55
ID  - HU2017/09
ER  -