A Data Driven Approach for Day Ahead Short Term Load Forecasting

A Data Driven Approach for Day Ahead Short Term Load Forecasting

This paper aims to develop an evolutionary deep learning based hybrid data driven approach for short term load forecasting (STLF) in the context of Bangladesh. With the lapse of time, the power system is getting complex. Penetration of intermittent renewable energy (RE) into the grid, changing prosu...

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Bibliographic Details
Main Authors: Azfar Inteha, Nahid-Al-Masood, Farhan Hussain, Ibrahim Ahmed Khan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
bidirectional gated recurrent unit
GA-BiGRU
Bangladesh power system
genetic algorithm
demand side management
Online Access:https://ieeexplore.ieee.org/document/9852454/

Internet

https://ieeexplore.ieee.org/document/9852454/

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