Research on Power Demand Forecasting Methods

DOI

10.2991/mseee-18.2018.44How to use a DOI?

Keywords

Time series prediction, correlation analysis, power demand forecasting.

Abstract

In recent years, with the rapid economic development of developing countries, the contradiction between economic development and resources and environment has become increasingly acute. It is of great practical significance to study the power market demand forecasting method for energy conservation and emission reduction. First of all, this paper draws on the technology and management experience of developed countries in energy conservation, energy conservation and emission reduction, and combines the actual economic development faced by developing countries to make predictions according to the classification of end users. In addition, taking into account the application of energy-saving and clean energy, we should grasp the changing trend of electricity consumption, make better power distribution and make contributions to energy conservation and environmental protection. Secondly, the correlation analysis and time series forecasting model are used to predict the demand of electricity in the region. In addition, this paper selects a representative country from both developing and developed countries to compare power demand consumers and analyze power demand in later period. Finally, this paper conducts sensitivity analysis on the power demand model based on correlation analysis and time series prediction, and obtains the applicability of the model. In the future, the forecasting methods of the models will be optimized to contribute to the global energy utilization and power energy prediction.

Copyright

© 2018, 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/).

Download article (PDF)

TY  - CONF
AU  - Zhigang Zhan
PY  - 2018/08
DA  - 2018/08
TI  - Research on Power Demand Forecasting Methods
BT  - Proceedings of the 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018)
PB  - Atlantis Press
SP  - 246
EP  - 249
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-18.2018.44
DO  - 10.2991/mseee-18.2018.44
ID  - Zhan2018/08
ER  -