Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach

Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach

Short-term load forecasting (STLF) plays a crucial role in the planning, management, and stability of a country’s power system operation. In this study, we have developed a novel approach that can simultaneously predict the load demand of different regions in Bangladesh. When making predictions for...

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Bibliographic Details
Main Authors:	Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, Utpal Mozumder, Ahmed Abdelgawad
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Big Data and Cognitive Computing
Subjects:	short-term load forecasting CNN-GRU hybrid model deep learning bangladesh power system
Online Access:	https://www.mdpi.com/2504-2289/8/2/12

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