Overview of Non-Intrusive Load Monitoring: Probabilistic and Artificial Intelligence approaches

¹ Intelligent Systems, Georesoures and renewable Energies laboratory, FST, USMBA, FEZ, Morocco
² Computer Science and Interdisciplinary Physics laboratory, USMBA, FEZ, Morocco

^* Corresponding author: jamila.ouzine@usmba.ac.ma

Abstract

Reduction and conservation of electrical energy consumption in residential buildings is the main objective of Non-Intrusive Load Monitoring (NILM) techniques. NILM detects events and estimate the power consumption of individual appliances by analyzing the aggregate power consumption measured at the service entry. Indeed, our major contribution in this paper is to update research works on NILM methodologies by adding the most recent NILM methods proposed in the literature. In this paper we present an overview of NILM and energy disaggregation methods. Then, we discuss the challenges of this technique to provide useful recommendations for future research.