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Based on Time Sequence of ARIMA Model in the Application of Short-Term Electricity Load Forecasting

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2 Author(s)
Li Wei ; Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding, China ; Zhang zhen-gang

Short-term electricity load is effected by various factors, It has the certain difficulty to make prediction accurate, but we can improve prediction precise by continuously optimizing forecasting methods. This paper carried out the combination of ARIMA several methods based on the idea of time sequence, to avoid deficiencies in various aspects, perfect forecasting methods, make ARIMA model can conduct electricity short-term load forecasting better.

Published in:

Research Challenges in Computer Science, 2009. ICRCCS '09. International Conference on

Date of Conference:

28-29 Dec. 2009

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