Compression and recovering of power consumption data through wavelet analysis is described. This technique will reduce the storage needs of such data, enable the reconstruction of data at a sufficient level of accuracy for invoicing, and allow for better energy planning in production facilities.

Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.