Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study

Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study

The prevalence of substantial inductive/capacitive loads within the industrial sectors induces variations in reactive energy levels. The imbalance between active and reactive energy within the network leads to heightened losses, diminished network efficiency, and an associated escalation in operatin...

Full description

Bibliographic Details
Main Authors: Hamza Mubarak, Mohammad J. Sanjari, Sascha Stegen, Abdallah Abdellatif
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Energies
Subjects:
active/reactive energy forecasting
industrial energy consumption
short-term forecasting
energy management
machine learning
ensemble model
Online Access:https://www.mdpi.com/1996-1073/16/21/7252

Internet

https://www.mdpi.com/1996-1073/16/21/7252

Similar Items