Abstract of Thesis presented at COPPE/UFRJ as a partial fulfillment of the requirements for the degree of Master of Science (M.Sc.)

Non Invasive Identification of Residential Electrical Loads

Diego Machado do Nascimento

July/2012

Advisor:

Alexandre Pinto Alves da Silva

Department:

Eletrical Engineering

      Nonintrusive Appliance Load Monitoring is a modern technique that has several applications for both consumers and electrical distribution companies. These techniques allow bill discrimination and detection of energy losses. It also provides valuable information for energy programs, and creates a better characterization of the loads.
      This dissertation presents a non invasive system based on the unique electrical events supplied by each equipment in a house. The methodology developed uses advanced signal processing analysis to build an innovative processing flow that permits any user to perform a load disaggregation algorithm in order to identify and classify any equipment in the house using only its electrical signature.