Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization

Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment. Additionally, a trustworthy forecasting management system enhances the resilience of power systems by cutting power and...

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Bibliographic Details
Main Authors: Fazeel Abid, Muhammad Alam, Faten S. Alamri, Imran Siddique
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:AIMS Mathematics
Subjects:
load and energy forecasting
multi-directional gated recurrent unit (md-gru)
convolutional neural networks
spatial and temporal
high dimensionality
long term dependencies
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231019?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20231019?viewType=HTML

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