![]() point out in Reference, these terms should be differentiated NILM is a process that can be used to achieve the goal of disaggregating the overall electricity usage at utility service entry. In some papers, for example, Reference, NILM and disaggregation are terms used interchangeably. Accordingly, this system measures the aggregated power signals which are later analyzed to identify the activity of the individual household appliances. A system implementing the NILM technique is based on a single sensor connected to the entry point of a household. NILM is a process that was first developed in the 1980s by F. An alternative approach is to extract this information from the aggregated data this is referred to as non-intrusive load monitoring (NILM). However, monitoring the energy consumption of each electrical appliance requires generally intrusive techniques. ![]() Additionally, data monitoring is becoming more and more essential in order to make and provide data-driven decisions and services in ever-growing fields such as smart buildings. ![]() In fact, data acquisition is widely applied to collect data describing phenomena in various fields from healthcare and wellbeing to solar energy. This could be achieved using data acquisition and monitoring techniques. Such a regular feedback also provides utility companies with the data needed to understand the consumers’ behaviors and thus bring the electricity demand and supply closer to a perceived optimum. In this context, it has been shown that providing regular feedback to users about their electricity consumption may help them reduce the electricity bill. The smart grid concept consists of shifting from a centralized energy generation scheme to a fully-automated and distributed power generation network that provides a two-way flow of electricity and information between utilities and end-users.
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