Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid

ABSTRACT Integrating renewable energy in smart grids enables sustainable energy development but introduces challenges in supply–demand variability. Deep learning techniques are now imperative for Short‐Term Load Forecasting (STLF), a significant enabler of energy flow management, demand‐side flexibi...

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Bibliographic Details
Main Authors: Syed Muhammad Hasanat, Muhammad Haris, Kaleem Ullah, Syed Zarak Shah, Usama Abid, Zahid Ullah
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Engineering Reports
Subjects:
CNN–LSTM hybrid model
grid resilience
multistep forecasting
short‐term load forecasting
smart grid
soft attention
Online Access:https://doi.org/10.1002/eng2.70163
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https://doi.org/10.1002/eng2.70163

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