Long-term natural gas peak demand forecasting in Tunisia Using machine learning
Author:
Affiliation:
1. National Engineering School of Tunis,Industrial Engineering Department (MIndS),Tunis,Tunisia
2. Societé Tunisienne d’Electricité et du Gaz (STEG)/DDC,Studies and Planning Department,Sousse,Tunisia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9765836/9765827/09765941.pdf?arnumber=9765941
Reference19 articles.
1. Day-ahead load forecast using random forest and expert input selection
2. Short-term natural gas demand prediction based on support vector regression with false neighbours filtered
3. RBF kernel based support vector regression to estimate the blood volume and heart rate responses during hemodialysis
4. Forecasting of natural gas consumption with artificial neural networks
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