*1.3. Developing Insights on Consumption Behavior for Reducing Harmonic Pollution*

Most often, the purpose of NILM is stated as potential savings in energy consumption [28]. All the techniques listed in the previous section are data intensive and require high computing power for application in real-time DR and are uneconomical for this purpose. Moreover, these methods are developed for energy conservation only. DR requires a simplification of the approach and should be fast enough to recommend possible opportunities for savings.
