A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons

A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons

The increasing penetration of renewable energy sources tends to redirect the power systems community’s interest from the traditional power grid model towards the smart grid framework. During this transition, load forecasting for various time horizons constitutes an essential electric utility task in...

Full description

Bibliographic Details
Main Authors: Nikolaos Giamarelos, Myron Papadimitrakis, Marios Stogiannos, Elias N. Zois, Nikolaos-Antonios I. Livanos, Alex Alexandridis
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
load forecasting
ensemble learning
neural networks
sparse representation
support vector regression
Online Access:https://www.mdpi.com/1424-8220/23/12/5436

Internet

https://www.mdpi.com/1424-8220/23/12/5436

Similar Items