Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition
Chen, Qinghua
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How to Cite

Chen Q., 2017, Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition , Chemical Engineering Transactions, 59, 841-846.
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Abstract

The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation is complicated and influenced by many factors. When the forecasting is carried out separately, the different load components will be separately extracted from the total load, which will help to improve the prediction accuracy. Based on the study of empirical mode decomposition method, this theory is introduced into the field of power load forecasting, we presented a short-term load forecasting method based on Empirical Mode Decomposition (EMD).
Firstly, we introduced the development of EMD and its main application fields, described the basic concepts and decomposition principles of EMD algorithm in detail. According to the power system load composition and characteristics, we proposed a short-term load forecasting model based on Empirical Mode Decomposition (EMD) and used the EMD algorithm to predict the load sequence.
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