Title :
A neuron nets based procedure for identifying domestic appliances pattern-of-use from energy recordings at meter panel
Author_Institution :
Electr. Eng. Dept., L´´Aquila Univ., Italy
Abstract :
The paper illustrates an artificial neural network (ANN) based procedure for the identification of pattern-of-use of some main domestic electric appliances from daily profiles of energy recordings taken at household´s meter panel at 15 minute steps. The paper describes the architecture used which is structured into multiple subsequent stages based on ANNs. The application of the procedure to some real daily load diagrams as recorded at few household meters demonstrates the efficiency of the proposed approach. The utility of ANNs for extracting further useful information concerning energy usage from data bases typically available for electric companies is finally discussed.
Keywords :
domestic appliances; load (electric); neural nets; power consumption; power system analysis computing; power system identification; artificial neural network; daily load diagrams; daily load profiles; domestic electric appliances; electric companies; energy usage; household meters; pattern-of-use identification; Architecture; Artificial neural networks; Data mining; Energy consumption; Home appliances; Monitoring; Neurons; Shape; Testing; Turning;
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
DOI :
10.1109/PESW.2002.985144