Time series forecasting of electricity consumption using hybrid model of recurrent neural networks and genetic algorithms-Reference-Cited by-同舟云学术

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Time series forecasting of electricity consumption using hybrid model of recurrent neural networks and genetic algorithms

Published:2024-06 Issue: Volume:2 Page:100004
ISSN:2950-3450
Container-title:Measurement: Energy
language:en
Short-container-title:Measurement: Energy

Author:

Hussein Ali,Awad Mohammed^ORCID

Publisher

Elsevier BV

Reference28 articles.

1. Artificial intelligence and machine learning for energy consumption and production in emerging markets: a review;Mhlanga;Energies,2023

2. Pandemic, war, and global energy transitions;Zakeri;Energies,2022

3. Palestine energy policy for photovoltaic generation: current status and what should Be next?;Tamer;Sustainability,2021

4. Data mining applications in understanding electricity consumers' behavior: a case study of Tulkarm district, Palestine;AbuBaker;Energies,2019

5. Enhanced RBF neural network model for time series prediction of solar cells panel depending on climate conditions (temperature and irradiance);Awad;Neural Comput. Appl.,2018

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