Heating and Lighting Load Disaggregation Using Frequency Components and Convolutional Bidirectional Long Short-Term Memory Method

Load disaggregation for the identification of specific load types in the total demands (e.g., demand-manageable loads, such as heating or cooling loads) is becoming increasingly important for the operation of existing and future power supply systems. This paper introduces an approach in which period...

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Bibliographic Details

Published in:	Energies
Main Authors:	Mingzhe Zou, Shuyang Zhu, Jiacheng Gu, Lidija M. Korunovic, Sasa Z. Djokic
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Subjects:	bayesian optimisation convolutional neural network deep learning disaggregation Fourier series frequency component
Online Access:	https://www.mdpi.com/1996-1073/14/16/4831