Application of Forecasting Models in Electrical Engineering: A Systematic Literature Review-Reference-Cited by-同舟云学术

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Application of Forecasting Models in Electrical Engineering: A Systematic Literature Review

Published:2024-04-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Author:

Koubaa Zainab¹,Amraoui Adnen El¹,Delmotte François¹,Frikha Ahmed²

Affiliation:

1. Université d'Artois,Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Faculté des Sciences Appliquées,Béthune,France,F-62400

2. Laboratoire Optimisation Logistique et Informatique Décisionnelle (OLID), Institut Supérieur de Gestion Industrielle de Sfax, Université de Sfax,Sfax,Tunisie,3021

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596138/10596139/10596246.pdf?arnumber=10596246

Reference20 articles.

1. Bayesian-Optimization-Based Long Short-Term Memory (LSTM) Super Learner Approach for Modeling Long-Term Electricity Consumption

2. Systematic Review of Electricity Demand Forecast Using ANN-Based Machine Learning Algorithms

3. Electrical load forecasting models: A critical systematic review

4. Forecasting methods in energy planning models

5. Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

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