Publication Type : Conference Proceedings
Publisher : Cybernetics, Cognition and Machine Learning Applications
Source : Cybernetics, Cognition and Machine Learning Applications, Springer Singapore, Singapore, p.371-383 (2021)
Url : https://link.springer.com/chapter/10.1007%2F978-981-33-6691-6_41
ISBN : 9789813366916
Campus : Amritapuri, Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2021
Abstract : Energy management is primarily needed for the rising demand for energy in a healthy and environmentally friendly manner. Proper monitoring and recognition systems are important for energy conservation. The use of more sensors to track the energy usage of each appliance in household and industrial application results in cost increase. So it is suggested to use common measurements from smart meter for appliance monitoring. In this study, ANN-based active power estimation is used as disaggregation algorithm of individual appliance at home. The network is able to identify individual loads present in it and also its approximate individual power consumption pattern. MATLAB modeling of the system with ANN power estimation of appliances is used for the effectiveness of the algorithm.
Cite this Research Publication : C. R. Lekshmi, Ilango Karuppasamy, Dr. Manjula G. Nair, Ashish, V., Aleena, J., Abhijith, G., H. Anagha, K., and Akhil, R., “Non-intrusive Load Monitoring with ANN-Based Active Power Disaggregation of Electrical Appliances”, Cybernetics, Cognition and Machine Learning Applications. Springer Singapore, Singapore, pp. 371-383, 2021.