A Hybrid Methodology Using Machine Learning Techniques and Feature Engineering Applied to Time Series for Medium- and Long-Term Energy Market Price Forecasting

A Hybrid Methodology Using Machine Learning Techniques and Feature Engineering Applied to Time Series for Medium- and Long-Term Energy Market Price Forecasting

In the electricity market, the issue of contract negotiation prices between generators/traders and buyers is of particular relevance, as an accurate contract modeling leads to increased financial returns and business sustainability for the various participating agents, encouraging investments in spe...

Full description

Saved in:
Bibliographic Details
Main Authors: Flávia Pessoa Monteiro, Suzane Monteiro, Carlos Rodrigues, Josivan Reis, Ubiratan Bezerra, Maria Emília Tostes, Frederico A. F. Almeida
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Energies
Subjects:
energy market forecasting
machine learning
time series decomposition
hybrid modeling
long-term energy price projection
feature engineering
Online Access:https://www.mdpi.com/1996-1073/18/6/1387
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items