A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network

A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network

In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation. Precise forecasting of load is essential for unit commitment, capacity planning, network augmentation and demand side management. Load forec...

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Bibliographic Details
Main Authors: Shafiul Hasan Rafi, Nahid-Al-Masood, Shohana Rahman Deeba, Eklas Hossain
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
convolutional neural network
long-short-term memory network
Bangladesh power system
evaluation metrics
Online Access:https://ieeexplore.ieee.org/document/9358156/

Internet

https://ieeexplore.ieee.org/document/9358156/

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