A Dedicated Mixture Model for Clustering Smart Meter Data: Identification and Analysis of Electricity Consumption Behaviors

Author:

Melzi Fateh,Same Allou,Zayani Mohamed,Oukhellou Latifa

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Solar photovoltaic generation and electrical demand forecasting using multi-objective deep learning model for smart grid systems;Cogent Engineering;2024-04-20

2. A Novel Deep Learning‐Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid;Applied Computational Intelligence and Soft Computing;2024-01

3. Electricity Theft Detection in a Smart Grid Using Hybrid Deep Learning‐Based Data Analysis Technique;Journal of Electrical and Computer Engineering;2024-01

4. A Classification Method for Electricity Users Based on the LightGBM Algorithm;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

5. Dimensionality Reduction for Smart Meter Data Using Variational Autoencoders;2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET);2023-12-04

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