The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach

The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach

Accurate load forecasting is crucial for effective power system management and planning in the context of growing electricity demand triggered by the proliferation of technological devices and rapid digitalization. Since electrical energy is largely non-storable, short-term electrical load forecasti...

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Bibliographic Details
Main Authors: Seyda Ozdemir, Yakup Demir, Ozal Yildirim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CNN-LSTM
deep learning
input length
multi-step load forecasting
prediction accuracy
short-term load forecasting
Online Access:https://ieeexplore.ieee.org/document/10879427/
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