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Leveraging Hybrid LSTM-Attention-CatBoost Model for Complex Energy Behavior Forecasting

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Year: 2024
Type: conference-paper
Source: International Conference on Smart Grids and Energy Systems (SGES)
DOI: 10.1109/sges63808.2024.10824187
Authors: Lu Lu, Zhengdong Shen, Shuting Li, Weili Wang
Institutions: Beijing Normal-Hong Kong Baptist University, Nanjing University of Information Science and Technology, Macau University of Science and Technology, South China Normal University
Language: English

Topic: Energy Load and Power Forecasting
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: closed
OpenAlex ID: W4406208617
FWCI: 0.799
Cites: 22
Cited by: 1
Related to: 10
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