Artificial neural network for non-intrusive electrical energy monitoring system

• Main Authors: Kaman, K. K., Faramarzi, M., Ibrahim, S., Yunus, M. A. M.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/74880/1/MohdAmriYunus2017_ArtificialNeuralNetworkforNon-IntrusiveElectrica.pdf; http://eprints.utm.my/id/eprint/74880/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019628637&doi=10.11591%2fijeecs.v6.i1.pp124-131&partnerID=40&md5=b61291a2f2be562f8d09d0f89b4a0cca

This paper discusses non-intrusive electrical energy monitoring (NIEM) system in an effort to minimize electrical energy wastages. To realize the system, an energy meter is used to measure the electrical consumption by electrical appliances. The obtained data were analyzed using a method called mult...