Ensemble Machine Learning Approaches for Prediction of Türkiye’s Energy Demand
Energy demand forecasting is a fundamental aspect of modern energy management. It impacts resource planning, economic stability, environmental sustainability, and energy security. This importance is making it critical for countries worldwide, particularly in cases like Türkiye, where the energy depe...
Main Author: | Merve Kayacı Çodur |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/17/1/74 |
Similar Items
-
Predicting peak day and peak hour of electricity demand with ensemble machine learning
by: Tao Fu, et al.
Published: (2022-11-01) -
A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm
by: Jun Hao, et al.
Published: (2020-01-01) -
Machine learning based energy demand prediction
by: Ammar Kamoona, et al.
Published: (2023-11-01) -
A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand
by: Wenting Zhao, et al.
Published: (2019-04-01) -
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
by: Francisco Diego Vidal Bezerra, et al.
Published: (2023-10-01)