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...

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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
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