Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks

The rationale for using enhanced Deep Neural Networks (DNNs) in the power distribution system for short-term load forecasting (STLF) originates from a thorough analysis of current trends, the emergence of the state-of-the-art use cases and approaches. STLF plays a crucial role in economic load dispa...

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Bibliographic Details
Main Authors: Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, Kinde Anlay Fante
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep neural networks
long short-term memory
load forecast
short-term load forecast
efficient and parallel genetic algorithm
EPGA enhanced LSTM
Online Access:https://ieeexplore.ieee.org/document/10606480/
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