The Summary of Load Forecasting Method Based on Power Demand Side Management

Jing Jin Cao; Li Jun Qin

doi:10.4028/www.scientific.net/AMM.494-495.1615

Paper Titles

A Cascading Failure Prediction Method in Power System Based on Multi-Agent and Hybrid Genetic Algorithm
p.1598

RETRACTED: Reliability and Cost Performance Ratio Analysis on EPON Protection Networking of Power Distribution Communication Network Access Layer
p.1602

Research of Energy Optimal Operation on Building Cooling Heating and Power System
p.1606

Correlation Analysis and Modeling of Main Parameters in Thermal Power Unit under FCB Conditions
p.1611

The Summary of Load Forecasting Method Based on Power Demand Side Management
p.1615

Specific Risks Assessment of Resource-Based Urban Power Network Planning
p.1619

Research on Security Access and Authentication Technology of Power Terminal Based on TNC
p.1623

Applications of Homotopy Algorithm for Solving Optimal Power Flow of Power System
p.1627

A New Short-Term Load Forecasting in Power Systems
p.1631

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495The Summary of Load Forecasting Method Based on...

The Summary of Load Forecasting Method Based on Power Demand Side Management

Abstract:

Weather, industrial structure and power demand side management can affect the load, however, the power demand side management has the most direct influence on the change of load. This paper first introduces the purpose of the electric power demand side management, then it introduces the relationship between the load forecasting and the power demand side management, furthermore it respectively introduces a variety of load forecasting method according to the time distribution, finally it compares the advantages and disadvantages of load forecasting methods for each time distribution respectively, and this will provide a new basis for power grid planning.

You might also be interested in these eBooks

Current Development of Mechanical Engineering and Energy

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

1615-1618

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.1615

Citation:

Cite this paper

Online since:

February 2014

Authors:

Jing Jin Cao*, Li Jun Qin

Keywords:

Load Forecasting, Power Demand Side Management, Prediction Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Wang Beibei. Li Yang. Gao Ciwei. Demand side management under the framework of the smart grid vision and thinking [J]. Automation of electric power systems, 2009, 3 (20) : 17-22.

Google Scholar

[2] Niu Dongxiao. Cao Shuhua. Lu Jiangchang. Zhao Lei. Power load forecasting technique and its application [M]. Beijing: China power press, (2009).

Google Scholar

[3] Wang Feng. Xie Kai. Yu Erjian. A simple and practical ultra short-term load forecast method [J] Power System Technology, 1996, 20(3): 41-43.

Google Scholar

[4] Zhao Chengwang. Gu Xingsheng. Yan Jun. Load derivation method to short-term load forecasting application [J]. Journal of electric power system and its automation, 2006, 17 (5) : 5-9.

DOI: 10.1109/wcica.2006.1713435

Google Scholar

[5] Wu Jinhui. The application of load derivation method of ultra short-term load forecasting in power grid [J]. Electric Power, 2003, 36(3): 31-32.

Google Scholar