FORECASTING ELECTRIC POWER CONSUMPTION USING SUBSPACE ALGORITHMS

M. Mossberg

Keywords

Electric power consumption, forecasting, system identification, subspace algorithms

Abstract

A new approach for electric power consumption forecasting that consists of using subspace identification techniques is presented in the paper. The new and powerful subspace identification techniques are introduced to the members of the power system engineering community who are not familiar with them, and it is shown that they can be an important tool in this area of electrical engineering. The usefulness of the techniques is illustrated on real data, and the identified models give reliable 24-h ahead predictions.

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